From c668d65ef34517be669f446d2dd78d5c619f8cc3 Mon Sep 17 00:00:00 2001
From: <>
Date: Tue, 1 Oct 2024 09:25:00 +0000
Subject: [PATCH] Deployed 28a897f with MkDocs version: 1.5.3
---
000 Zettelkasten/2D Convolutions/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
000 Zettelkasten/Bit Palettization/index.html | 21 +
000 Zettelkasten/Block Expansion/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Equivariance Initialization/index.html | 21 +
000 Zettelkasten/Grokking/index.html | 21 +
000 Zettelkasten/Group Axioms/index.html | 21 +
.../Group direct product/index.html | 21 +
.../index.html | 21 +
.../Input-dependent convolutions/index.html | 21 +
.../K-Means-based Quantization/index.html | 21 +
000 Zettelkasten/KV Cache/index.html | 21 +
.../Linear Quantization/index.html | 21 +
000 Zettelkasten/LoRa Adapter/index.html | 21 +
.../Masked Image Modelling/index.html | 21 +
.../index.html | 21 +
.../Mean Attention Distance/index.html | 21 +
.../Multiple global minima/index.html | 21 +
.../Neural Network Quantization/index.html | 21 +
.../index.html | 21 +
.../Positive Logic Programs/index.html | 21 +
.../index.html | 21 +
.../PyTorch Functionalization/index.html | 21 +
.../index.html | 21 +
.../Representation (Group Theory)/index.html | 21 +
000 Zettelkasten/Residual stream/index.html | 21 +
.../index.html | 21 +
.../A ConvNet for the 2020s/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Deep Learning Book/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Mixture of LoRa Experts/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Optimal Brain Damage/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Rewrite the Stars/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../Segment Anything/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../102 Authors/Albert Gu/index.html | 21 +
.../102 Authors/Alex Flinth/index.html | 21 +
.../102 Authors/Alexander Kirillov/index.html | 21 +
.../102 Authors/Alexey Dosovitskiy/index.html | 21 +
.../102 Authors/Ananya Kumar/index.html | 21 +
.../102 Authors/Andreas Loukas/index.html | 21 +
.../102 Authors/Andreas Savakis/index.html | 21 +
.../102 Authors/Angela Fan/index.html | 21 +
.../102 Authors/Annie S. Chen/index.html | 21 +
.../102 Authors/Antonio Orvieto/index.html | 21 +
.../102 Authors/Ardavan Pedram/index.html | 21 +
.../102 Authors/Armand Joulin/index.html | 21 +
.../102 Authors/Attila Lengyel/index.html | 21 +
.../102 Authors/Boshi Wang/index.html | 21 +
.../102 Authors/Byeongho Heo/index.html | 21 +
.../102 Authors/Caglar Gulcehre/index.html | 21 +
.../102 Authors/Carmen Amo Alonso/index.html | 21 +
.../102 Authors/Cees G. M. Snoek/index.html | 21 +
.../102 Authors/Chelsea Finn/index.html | 21 +
.../102 Authors/Chong Wang/index.html | 21 +
.../102 Authors/Christopher Olah/index.html | 21 +
.../102 Authors/Daniel M. Roy/index.html | 21 +
.../102 Authors/Daniel Ulbricht/index.html | 21 +
.../102 Authors/David M. Knigge/index.html | 21 +
.../102 Authors/David W. Romero/index.html | 21 +
.../102 Authors/Diane Larlus/index.html | 21 +
.../102 Authors/Donghyun Kim/index.html | 21 +
.../102 Authors/Dongyoon Han/index.html | 21 +
.../102 Authors/Duy-Kien Nguyen/index.html | 21 +
.../102 Authors/Edward J. Hu/index.html | 21 +
.../102 Authors/Edward Z. Yang/index.html | 21 +
.../102 Authors/Eric Mintun/index.html | 21 +
.../102 Authors/Erik J. Bekkers/index.html | 21 +
.../102 Authors/Eshan Verma/index.html | 21 +
.../102 Authors/Fahim Tajwar/index.html | 21 +
.../102 Authors/Fartash Faghri/index.html | 21 +
.../102 Authors/Francisco Massa/index.html | 21 +
.../102 Authors/Fred Hohman/index.html | 21 +
.../102 Authors/Furu Wei/index.html | 21 +
.../102 Authors/Gabriel Synnaeve/index.html | 21 +
.../Gintare Karolina Dziugaite/index.html | 21 +
.../102 Authors/Hadi Pouransari/index.html | 21 +
.../102 Authors/Han Cai/index.html | 21 +
.../102 Authors/Hanzi Mao/index.html | 21 +
.../102 Authors/Haoxiang Wang/index.html | 21 +
.../Herv\303\251 Jegou/index.html" | 21 +
.../102 Authors/Huaxiu Yao/index.html | 21 +
.../102 Authors/Hugo Touvron/index.html | 21 +
.../102 Authors/Huizi Mao/index.html | 21 +
.../102 Authors/Isha Garg/index.html | 21 +
.../102 Authors/Ishan Misra/index.html | 21 +
.../102 Authors/Jan E. Gerken/index.html | 21 +
.../Javier Maass Martinez/index.html | 21 +
.../Jean-Baptiste Cordonnier/index.html | 21 +
.../102 Authors/Jeff Pool/index.html | 21 +
.../102 Authors/Jesse Cai/index.html | 21 +
.../102 Authors/Jing Pu/index.html | 21 +
.../102 Authors/Joaquin Fontbona/index.html | 21 +
.../102 Authors/John Denker/index.html | 21 +
.../102 Authors/John Tran/index.html | 21 +
.../102 Authors/Julien Mairal/index.html | 21 +
.../102 Authors/Juliette Marrie/index.html | 21 +
.../102 Authors/Kaiming He/index.html | 21 +
.../Kamyar Azizzadenesheli/index.html | 21 +
.../102 Authors/Kaushik Roy/index.html | 21 +
.../102 Authors/Lawrence Chan/index.html | 21 +
.../102 Authors/Lucius Bushnaq/index.html | 21 +
.../Maciej Wo\305\202czyk/index.html" | 21 +
.../102 Authors/Mahmoud Assran/index.html | 21 +
.../102 Authors/Marc Finzi/index.html | 21 +
.../102 Authors/Mark A. Horowitz/index.html | 21 +
.../102 Authors/Martin Jaggi/index.html | 21 +
.../102 Authors/Martin R. Oswald/index.html | 21 +
.../102 Authors/Mathilde Caron/index.html | 21 +
.../102 Authors/Maxime Oquab/index.html | 21 +
.../102 Authors/Mehrdad Farajtabar/index.html | 21 +
.../102 Authors/Michael Arbel/index.html | 21 +
.../102 Authors/Mohammad Rastegari/index.html | 21 +
.../102 Authors/Namuk Park/index.html | 21 +
.../102 Authors/Navin Ranjan/index.html | 21 +
.../102 Authors/Neel Nanda/index.html | 21 +
.../102 Authors/Nicolas Carion/index.html | 21 +
.../102 Authors/Nicolas Usunier/index.html | 21 +
.../102 Authors/Oncel Tuzel/index.html | 21 +
.../Patrick Forr\303\251/index.html" | 21 +
.../Pavan Kumar Anasosalu Vasu/index.html | 21 +
.../102 Authors/Percy Liang/index.html | 21 +
.../102 Authors/Piotr Bojanowski/index.html | 21 +
.../Raviteja Vemulapalli/index.html | 21 +
.../102 Authors/Razvan Pascanu/index.html | 21 +
.../102 Authors/Robin Walters/index.html | 21 +
.../102 Authors/Rose Yu/index.html | 21 +
.../102 Authors/Ross Girshick/index.html | 21 +
.../102 Authors/Rui Wang/index.html | 21 +
.../102 Authors/Ruoming Pang/index.html | 21 +
.../102 Authors/Sachin Mehta/index.html | 21 +
.../102 Authors/Sangdoo Yun/index.html | 21 +
.../102 Authors/Sanghyuk Chun/index.html | 21 +
.../102 Authors/Sara Solla/index.html | 21 +
.../102 Authors/Sergey Zagoruyko/index.html | 21 +
.../102 Authors/Shaohan Huang/index.html | 21 +
.../102 Authors/Simon J.D. Prince/index.html | 21 +
.../102 Authors/Skander Moalla/index.html | 21 +
.../102 Authors/Soham De/index.html | 21 +
.../102 Authors/Song Han/index.html | 21 +
.../102 Authors/Songkuk Kim/index.html | 21 +
.../102 Authors/Sourya Basu/index.html | 21 +
.../St\303\251phane d'Ascoli/index.html" | 21 +
.../102 Authors/Sukjun Hwang/index.html | 21 +
.../102 Authors/Taekyung Kim/index.html | 21 +
.../102 Authors/Tete Xiao/index.html | 21 +
.../102 Authors/Tom Gunter/index.html | 21 +
.../102 Authors/Tom Lieberum/index.html | 21 +
.../102 Authors/Vaibhav Aggarwal/index.html | 21 +
.../102 Authors/William J. Dally/index.html | 21 +
.../102 Authors/Wonjae Kim/index.html | 21 +
.../102 Authors/Xiang Yue/index.html | 21 +
.../102 Authors/Xingyu Liu/index.html | 21 +
.../102 Authors/Xinlei Chen/index.html | 21 +
.../102 Authors/Xiuying Wei/index.html | 21 +
.../102 Authors/Xu Ma/index.html | 21 +
.../102 Authors/Xun Wu/index.html | 21 +
.../102 Authors/Yanghao Li/index.html | 21 +
.../102 Authors/Yann LeCun/index.html | 21 +
.../102 Authors/Yelong Shen/index.html | 21 +
.../102 Authors/Yoonho Lee/index.html | 21 +
.../102 Authors/Zeyuan Allen-Zhu/index.html | 21 +
.../102 Authors/Zhuoyang Zhang/index.html | 21 +
.../102 Authors/Ziaoyi Zhang/index.html | 21 +
.../102 Authors/Zirui Wang/index.html | 21 +
.../103 Affiliations/Anthropic/index.html | 21 +
.../Apollo Research/index.html | 21 +
.../103 Affiliations/Apple/index.html | 21 +
.../103 Affiliations/CLAIRE/index.html | 21 +
.../Carnegie Mellon University/index.html | 21 +
.../index.html | 21 +
.../103 Affiliations/EPFL/index.html | 21 +
.../103 Affiliations/FAIR/index.html | 21 +
.../Google DeepMind/index.html | 21 +
.../103 Affiliations/Google/index.html | 21 +
.../103 Affiliations/IBM Research/index.html | 21 +
.../103 Affiliations/INRIA/index.html | 21 +
.../103 Affiliations/MIT/index.html | 21 +
.../McGill University/index.html | 21 +
.../103 Affiliations/Meta/index.html | 21 +
.../103 Affiliations/Microsoft/index.html | 21 +
.../Mila Quebec AI Institute/index.html | 21 +
.../103 Affiliations/NVIDIA/index.html | 21 +
.../103 Affiliations/Naver AI Lab/index.html | 21 +
.../Naver Cloud AI/index.html | 21 +
.../Naver Labs Europe/index.html | 21 +
.../New York University/index.html | 21 +
.../Northeastern University/index.html | 21 +
.../103 Affiliations/OpenAI/index.html | 21 +
.../Princeton University/index.html | 21 +
.../103 Affiliations/PyTorch/index.html | 21 +
.../index.html | 21 +
.../103 Affiliations/Stanford/index.html | 21 +
.../103 Affiliations/TU Delft/index.html | 21 +
.../Tsinghua University/index.html | 21 +
.../103 Affiliations/UC Berkeley/index.html | 21 +
.../103 Affiliations/UC San Diego/index.html | 21 +
.../UC Santa Barbara/index.html | 21 +
.../103 Affiliations/UCLA/index.html | 21 +
.../University of Amsterdam/index.html | 21 +
.../University of Chile/index.html | 21 +
.../index.html | 21 +
.../University of Oxford/index.html | 21 +
.../Vector Institute/index.html | 21 +
.../Vrije Universiteit Amsterdam/index.html | 21 +
.../Yonsei University/index.html | 21 +
.../index.html | 23 +-
.../104 Other/GPU mode - Sparsity/index.html | 7952 +++++++++++++++++
.../index.html" | 23 +-
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../PyTorch - Quantization/index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html" | 21 +
.../PyTorch Conference 2024/index.html | 21 +
.../index.html | 21 +
.../104 Other/PyTorch internals/index.html | 21 +
.../index.html | 21 +
.../index.html | 121 +-
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
.../index.html | 21 +
404.html | 21 +
index.html | 21 +
search/search_index.json | 2 +-
sitemap.xml | 5 +
sitemap.xml.gz | Bin 6513 -> 6523 bytes
350 files changed, 15322 insertions(+), 7 deletions(-)
create mode 100644 100 Reference notes/104 Other/GPU mode - Sparsity/index.html
diff --git a/000 Zettelkasten/2D Convolutions/index.html b/000 Zettelkasten/2D Convolutions/index.html
index 3fab2b8b..4a2b31d7 100644
--- a/000 Zettelkasten/2D Convolutions/index.html
+++ b/000 Zettelkasten/2D Convolutions/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Ahead-of-Time (AOT) Compilation/index.html b/000 Zettelkasten/Ahead-of-Time (AOT) Compilation/index.html
index c47c92f8..554e7261 100644
--- a/000 Zettelkasten/Ahead-of-Time (AOT) Compilation/index.html
+++ b/000 Zettelkasten/Ahead-of-Time (AOT) Compilation/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Are less inductive biases better or worse?/index.html b/000 Zettelkasten/Are less inductive biases better or worse?/index.html
index a12b8cd3..2a3f2912 100644
--- a/000 Zettelkasten/Are less inductive biases better or worse?/index.html
+++ b/000 Zettelkasten/Are less inductive biases better or worse?/index.html
@@ -7064,6 +7064,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Bit Palettization/index.html b/000 Zettelkasten/Bit Palettization/index.html
index f69fa7ed..74e1d5d3 100644
--- a/000 Zettelkasten/Bit Palettization/index.html
+++ b/000 Zettelkasten/Bit Palettization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Block Expansion/index.html b/000 Zettelkasten/Block Expansion/index.html
index 2dcb42f2..352ff5af 100644
--- a/000 Zettelkasten/Block Expansion/index.html
+++ b/000 Zettelkasten/Block Expansion/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Convergence rate and Hessian spectra/index.html b/000 Zettelkasten/Convergence rate and Hessian spectra/index.html
index e5c5de46..5cbea49a 100644
--- a/000 Zettelkasten/Convergence rate and Hessian spectra/index.html
+++ b/000 Zettelkasten/Convergence rate and Hessian spectra/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Depthwise separable convolutions/index.html b/000 Zettelkasten/Depthwise separable convolutions/index.html
index ae98f970..07ad3123 100644
--- a/000 Zettelkasten/Depthwise separable convolutions/index.html
+++ b/000 Zettelkasten/Depthwise separable convolutions/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Do Vision Foundation models exist?/index.html b/000 Zettelkasten/Do Vision Foundation models exist?/index.html
index 5811650a..64ee16ac 100644
--- a/000 Zettelkasten/Do Vision Foundation models exist?/index.html
+++ b/000 Zettelkasten/Do Vision Foundation models exist?/index.html
@@ -7064,6 +7064,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Effect of weight symmetries on training dynamics/index.html b/000 Zettelkasten/Effect of weight symmetries on training dynamics/index.html
index 67875527..da14d826 100644
--- a/000 Zettelkasten/Effect of weight symmetries on training dynamics/index.html
+++ b/000 Zettelkasten/Effect of weight symmetries on training dynamics/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Equivariance Initialization/index.html b/000 Zettelkasten/Equivariance Initialization/index.html
index 1d3824ef..5bb16fad 100644
--- a/000 Zettelkasten/Equivariance Initialization/index.html
+++ b/000 Zettelkasten/Equivariance Initialization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Grokking/index.html b/000 Zettelkasten/Grokking/index.html
index 64635e35..7355c218 100644
--- a/000 Zettelkasten/Grokking/index.html
+++ b/000 Zettelkasten/Grokking/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Group Axioms/index.html b/000 Zettelkasten/Group Axioms/index.html
index 3e35ea9a..d70e5536 100644
--- a/000 Zettelkasten/Group Axioms/index.html
+++ b/000 Zettelkasten/Group Axioms/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Group direct product/index.html b/000 Zettelkasten/Group direct product/index.html
index fbfcbd86..22134d66 100644
--- a/000 Zettelkasten/Group direct product/index.html
+++ b/000 Zettelkasten/Group direct product/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Hardware-specific structured pruning/index.html b/000 Zettelkasten/Hardware-specific structured pruning/index.html
index bda0e02c..8c8b0839 100644
--- a/000 Zettelkasten/Hardware-specific structured pruning/index.html
+++ b/000 Zettelkasten/Hardware-specific structured pruning/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Input-dependent convolutions/index.html b/000 Zettelkasten/Input-dependent convolutions/index.html
index 49725e70..6c1eb83e 100644
--- a/000 Zettelkasten/Input-dependent convolutions/index.html
+++ b/000 Zettelkasten/Input-dependent convolutions/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/K-Means-based Quantization/index.html b/000 Zettelkasten/K-Means-based Quantization/index.html
index 4a134123..eb81eed9 100644
--- a/000 Zettelkasten/K-Means-based Quantization/index.html
+++ b/000 Zettelkasten/K-Means-based Quantization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/KV Cache/index.html b/000 Zettelkasten/KV Cache/index.html
index 738cf99b..65907792 100644
--- a/000 Zettelkasten/KV Cache/index.html
+++ b/000 Zettelkasten/KV Cache/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Linear Quantization/index.html b/000 Zettelkasten/Linear Quantization/index.html
index a342b7fd..b3b6697d 100644
--- a/000 Zettelkasten/Linear Quantization/index.html
+++ b/000 Zettelkasten/Linear Quantization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/LoRa Adapter/index.html b/000 Zettelkasten/LoRa Adapter/index.html
index 0dea2456..6823d01c 100644
--- a/000 Zettelkasten/LoRa Adapter/index.html
+++ b/000 Zettelkasten/LoRa Adapter/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Masked Image Modelling/index.html b/000 Zettelkasten/Masked Image Modelling/index.html
index d199977e..2c0001d5 100644
--- a/000 Zettelkasten/Masked Image Modelling/index.html
+++ b/000 Zettelkasten/Masked Image Modelling/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Maximal pruning and functional recovery/index.html b/000 Zettelkasten/Maximal pruning and functional recovery/index.html
index e2af6fb5..f3900a14 100644
--- a/000 Zettelkasten/Maximal pruning and functional recovery/index.html
+++ b/000 Zettelkasten/Maximal pruning and functional recovery/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Mean Attention Distance/index.html b/000 Zettelkasten/Mean Attention Distance/index.html
index 503730ae..245e3607 100644
--- a/000 Zettelkasten/Mean Attention Distance/index.html
+++ b/000 Zettelkasten/Mean Attention Distance/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Multiple global minima/index.html b/000 Zettelkasten/Multiple global minima/index.html
index bba208f1..97d3cd89 100644
--- a/000 Zettelkasten/Multiple global minima/index.html
+++ b/000 Zettelkasten/Multiple global minima/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Neural Network Quantization/index.html b/000 Zettelkasten/Neural Network Quantization/index.html
index 48336403..ac79494a 100644
--- a/000 Zettelkasten/Neural Network Quantization/index.html
+++ b/000 Zettelkasten/Neural Network Quantization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Non-translationally equivariant convolutions/index.html b/000 Zettelkasten/Non-translationally equivariant convolutions/index.html
index a0ee70d4..c97e6df9 100644
--- a/000 Zettelkasten/Non-translationally equivariant convolutions/index.html
+++ b/000 Zettelkasten/Non-translationally equivariant convolutions/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Positive Logic Programs/index.html b/000 Zettelkasten/Positive Logic Programs/index.html
index f24cab57..8cc3733d 100644
--- a/000 Zettelkasten/Positive Logic Programs/index.html
+++ b/000 Zettelkasten/Positive Logic Programs/index.html
@@ -7097,6 +7097,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Priors over Neural Network weights/index.html b/000 Zettelkasten/Priors over Neural Network weights/index.html
index ccfebb23..7cbb0275 100644
--- a/000 Zettelkasten/Priors over Neural Network weights/index.html
+++ b/000 Zettelkasten/Priors over Neural Network weights/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/PyTorch Functionalization/index.html b/000 Zettelkasten/PyTorch Functionalization/index.html
index 1971bcb8..decae061 100644
--- a/000 Zettelkasten/PyTorch Functionalization/index.html
+++ b/000 Zettelkasten/PyTorch Functionalization/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/PyTorch Quantization for TensorRT/index.html b/000 Zettelkasten/PyTorch Quantization for TensorRT/index.html
index 795c4867..6ad1551b 100644
--- a/000 Zettelkasten/PyTorch Quantization for TensorRT/index.html
+++ b/000 Zettelkasten/PyTorch Quantization for TensorRT/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Representation (Group Theory)/index.html b/000 Zettelkasten/Representation (Group Theory)/index.html
index 61a1ee7f..9b290111 100644
--- a/000 Zettelkasten/Representation (Group Theory)/index.html
+++ b/000 Zettelkasten/Representation (Group Theory)/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/000 Zettelkasten/Residual stream/index.html b/000 Zettelkasten/Residual stream/index.html
index d2f5e438..b54d63c3 100644
--- a/000 Zettelkasten/Residual stream/index.html
+++ b/000 Zettelkasten/Residual stream/index.html
@@ -7022,6 +7022,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A Brief Review of Hypernetworks in Deep Learning/index.html b/100 Reference notes/101 Literature/A Brief Review of Hypernetworks in Deep Learning/index.html
index ce41312c..e512fb35 100644
--- a/100 Reference notes/101 Literature/A Brief Review of Hypernetworks in Deep Learning/index.html
+++ b/100 Reference notes/101 Literature/A Brief Review of Hypernetworks in Deep Learning/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A ConvNet for the 2020s/index.html b/100 Reference notes/101 Literature/A ConvNet for the 2020s/index.html
index 16fc2506..c591581e 100644
--- a/100 Reference notes/101 Literature/A ConvNet for the 2020s/index.html
+++ b/100 Reference notes/101 Literature/A ConvNet for the 2020s/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A Hierarchy of Graph Neural Networks Based on Learnable Local Features/index.html b/100 Reference notes/101 Literature/A Hierarchy of Graph Neural Networks Based on Learnable Local Features/index.html
index 824a12ac..39af5f9e 100644
--- a/100 Reference notes/101 Literature/A Hierarchy of Graph Neural Networks Based on Learnable Local Features/index.html
+++ b/100 Reference notes/101 Literature/A Hierarchy of Graph Neural Networks Based on Learnable Local Features/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A Mathematical Framework for Transformer Circuits/index.html b/100 Reference notes/101 Literature/A Mathematical Framework for Transformer Circuits/index.html
index 4a94a74f..53e4747b 100644
--- a/100 Reference notes/101 Literature/A Mathematical Framework for Transformer Circuits/index.html
+++ b/100 Reference notes/101 Literature/A Mathematical Framework for Transformer Circuits/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A general theory of correct, incorrect, and extrinsic equivariance/index.html b/100 Reference notes/101 Literature/A general theory of correct, incorrect, and extrinsic equivariance/index.html
index d3c0fae8..21cea985 100644
--- a/100 Reference notes/101 Literature/A general theory of correct, incorrect, and extrinsic equivariance/index.html
+++ b/100 Reference notes/101 Literature/A general theory of correct, incorrect, and extrinsic equivariance/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/A survey of quantization methods for efficient neural network inference/index.html b/100 Reference notes/101 Literature/A survey of quantization methods for efficient neural network inference/index.html
index 391b20c3..a9483763 100644
--- a/100 Reference notes/101 Literature/A survey of quantization methods for efficient neural network inference/index.html
+++ b/100 Reference notes/101 Literature/A survey of quantization methods for efficient neural network inference/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/AWQ - Activation-aware Weight Quantization for LLM Compression and Acceleration/index.html b/100 Reference notes/101 Literature/AWQ - Activation-aware Weight Quantization for LLM Compression and Acceleration/index.html
index fdcc2cbd..b1afa323 100644
--- a/100 Reference notes/101 Literature/AWQ - Activation-aware Weight Quantization for LLM Compression and Acceleration/index.html
+++ b/100 Reference notes/101 Literature/AWQ - Activation-aware Weight Quantization for LLM Compression and Acceleration/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Adapting Vision Foundation Models for Plant Phenotyping/index.html b/100 Reference notes/101 Literature/Adapting Vision Foundation Models for Plant Phenotyping/index.html
index 2201baf4..ca0c3bf2 100644
--- a/100 Reference notes/101 Literature/Adapting Vision Foundation Models for Plant Phenotyping/index.html
+++ b/100 Reference notes/101 Literature/Adapting Vision Foundation Models for Plant Phenotyping/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/An Image is Worth More Than 16x16 Patches - Exploring Transformers on Individual Pixels/index.html b/100 Reference notes/101 Literature/An Image is Worth More Than 16x16 Patches - Exploring Transformers on Individual Pixels/index.html
index 685b30ee..ebc34f9a 100644
--- a/100 Reference notes/101 Literature/An Image is Worth More Than 16x16 Patches - Exploring Transformers on Individual Pixels/index.html
+++ b/100 Reference notes/101 Literature/An Image is Worth More Than 16x16 Patches - Exploring Transformers on Individual Pixels/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/An Investigation into Neural Net Optimization via Hessian Eigenvalue Density/index.html b/100 Reference notes/101 Literature/An Investigation into Neural Net Optimization via Hessian Eigenvalue Density/index.html
index e77dc2d9..b32c986b 100644
--- a/100 Reference notes/101 Literature/An Investigation into Neural Net Optimization via Hessian Eigenvalue Density/index.html
+++ b/100 Reference notes/101 Literature/An Investigation into Neural Net Optimization via Hessian Eigenvalue Density/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/An image is worth 16x16 words - Transformers for image recognition at scale/index.html b/100 Reference notes/101 Literature/An image is worth 16x16 words - Transformers for image recognition at scale/index.html
index c7187677..facbd93c 100644
--- a/100 Reference notes/101 Literature/An image is worth 16x16 words - Transformers for image recognition at scale/index.html
+++ b/100 Reference notes/101 Literature/An image is worth 16x16 words - Transformers for image recognition at scale/index.html
@@ -7081,6 +7081,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Apple Intelligence Foundation Language Models/index.html b/100 Reference notes/101 Literature/Apple Intelligence Foundation Language Models/index.html
index 9d51713f..36000b40 100644
--- a/100 Reference notes/101 Literature/Apple Intelligence Foundation Language Models/index.html
+++ b/100 Reference notes/101 Literature/Apple Intelligence Foundation Language Models/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Approximately equivariant networks for imperfectly symmetric dynamics/index.html b/100 Reference notes/101 Literature/Approximately equivariant networks for imperfectly symmetric dynamics/index.html
index c720b060..92af625f 100644
--- a/100 Reference notes/101 Literature/Approximately equivariant networks for imperfectly symmetric dynamics/index.html
+++ b/100 Reference notes/101 Literature/Approximately equivariant networks for imperfectly symmetric dynamics/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Approximation-Generalization Trade-offs under (Approximate) Group Equivariance/index.html b/100 Reference notes/101 Literature/Approximation-Generalization Trade-offs under (Approximate) Group Equivariance/index.html
index 41bafb09..0db3192b 100644
--- a/100 Reference notes/101 Literature/Approximation-Generalization Trade-offs under (Approximate) Group Equivariance/index.html
+++ b/100 Reference notes/101 Literature/Approximation-Generalization Trade-offs under (Approximate) Group Equivariance/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Autoequivariant Network Search via Group Decomposition/index.html b/100 Reference notes/101 Literature/Autoequivariant Network Search via Group Decomposition/index.html
index 07b0b025..015b068f 100644
--- a/100 Reference notes/101 Literature/Autoequivariant Network Search via Group Decomposition/index.html
+++ b/100 Reference notes/101 Literature/Autoequivariant Network Search via Group Decomposition/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Battle of the Backbones - A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks/index.html b/100 Reference notes/101 Literature/Battle of the Backbones - A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks/index.html
index 119656ad..33e28e94 100644
--- a/100 Reference notes/101 Literature/Battle of the Backbones - A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks/index.html
+++ b/100 Reference notes/101 Literature/Battle of the Backbones - A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Block Transformer - Global-to-Local Language Modeling for Fast Inference/index.html b/100 Reference notes/101 Literature/Block Transformer - Global-to-Local Language Modeling for Fast Inference/index.html
index 6b613a61..8cac96b4 100644
--- a/100 Reference notes/101 Literature/Block Transformer - Global-to-Local Language Modeling for Fast Inference/index.html
+++ b/100 Reference notes/101 Literature/Block Transformer - Global-to-Local Language Modeling for Fast Inference/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/BoxeR - Box-Attention for 2D and 3D Transformers/index.html b/100 Reference notes/101 Literature/BoxeR - Box-Attention for 2D and 3D Transformers/index.html
index 5bd25217..d843a9f2 100644
--- a/100 Reference notes/101 Literature/BoxeR - Box-Attention for 2D and 3D Transformers/index.html
+++ b/100 Reference notes/101 Literature/BoxeR - Box-Attention for 2D and 3D Transformers/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Building on Efficient Foundations - Effectively Training LLMs with Structured Feedforward Layers/index.html b/100 Reference notes/101 Literature/Building on Efficient Foundations - Effectively Training LLMs with Structured Feedforward Layers/index.html
index f026ee12..1e94ad5f 100644
--- a/100 Reference notes/101 Literature/Building on Efficient Foundations - Effectively Training LLMs with Structured Feedforward Layers/index.html
+++ b/100 Reference notes/101 Literature/Building on Efficient Foundations - Effectively Training LLMs with Structured Feedforward Layers/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/CKConv - Continuous Kernel Convolution For Sequential Data/index.html b/100 Reference notes/101 Literature/CKConv - Continuous Kernel Convolution For Sequential Data/index.html
index 89a73fd9..813a2661 100644
--- a/100 Reference notes/101 Literature/CKConv - Continuous Kernel Convolution For Sequential Data/index.html
+++ b/100 Reference notes/101 Literature/CKConv - Continuous Kernel Convolution For Sequential Data/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Color Equivariant Convolutional Networks/index.html b/100 Reference notes/101 Literature/Color Equivariant Convolutional Networks/index.html
index e240b79d..1058271b 100644
--- a/100 Reference notes/101 Literature/Color Equivariant Convolutional Networks/index.html
+++ b/100 Reference notes/101 Literature/Color Equivariant Convolutional Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Color Space Transformation Network/index.html b/100 Reference notes/101 Literature/Color Space Transformation Network/index.html
index 6b7a9430..daa4d5a8 100644
--- a/100 Reference notes/101 Literature/Color Space Transformation Network/index.html
+++ b/100 Reference notes/101 Literature/Color Space Transformation Network/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/ConViT - Improving Vision Transformers with Soft Convolutional Inductive Biases/index.html b/100 Reference notes/101 Literature/ConViT - Improving Vision Transformers with Soft Convolutional Inductive Biases/index.html
index b58777e7..32d1c7b6 100644
--- a/100 Reference notes/101 Literature/ConViT - Improving Vision Transformers with Soft Convolutional Inductive Biases/index.html
+++ b/100 Reference notes/101 Literature/ConViT - Improving Vision Transformers with Soft Convolutional Inductive Biases/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/DETRs Beat YOLOs on Real-time Object Detection/index.html b/100 Reference notes/101 Literature/DETRs Beat YOLOs on Real-time Object Detection/index.html
index 2decb214..04a17aea 100644
--- a/100 Reference notes/101 Literature/DETRs Beat YOLOs on Real-time Object Detection/index.html
+++ b/100 Reference notes/101 Literature/DETRs Beat YOLOs on Real-time Object Detection/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/DETRs with Collaborative Hybrid Assignments Training/index.html b/100 Reference notes/101 Literature/DETRs with Collaborative Hybrid Assignments Training/index.html
index 5ca6437d..1c8c0599 100644
--- a/100 Reference notes/101 Literature/DETRs with Collaborative Hybrid Assignments Training/index.html
+++ b/100 Reference notes/101 Literature/DETRs with Collaborative Hybrid Assignments Training/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/DINOv2 - Learning Robust Visual Features without Supervision/index.html b/100 Reference notes/101 Literature/DINOv2 - Learning Robust Visual Features without Supervision/index.html
index cf1c5086..197f892f 100644
--- a/100 Reference notes/101 Literature/DINOv2 - Learning Robust Visual Features without Supervision/index.html
+++ b/100 Reference notes/101 Literature/DINOv2 - Learning Robust Visual Features without Supervision/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Deep Learning Book/index.html b/100 Reference notes/101 Literature/Deep Learning Book/index.html
index 7df3e154..e654588a 100644
--- a/100 Reference notes/101 Literature/Deep Learning Book/index.html
+++ b/100 Reference notes/101 Literature/Deep Learning Book/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/DenseNets Reloaded - Paradigm Shift Beyond ResNets and ViTs/index.html b/100 Reference notes/101 Literature/DenseNets Reloaded - Paradigm Shift Beyond ResNets and ViTs/index.html
index bb44f623..d55c70c0 100644
--- a/100 Reference notes/101 Literature/DenseNets Reloaded - Paradigm Shift Beyond ResNets and ViTs/index.html
+++ b/100 Reference notes/101 Literature/DenseNets Reloaded - Paradigm Shift Beyond ResNets and ViTs/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution/index.html b/100 Reference notes/101 Literature/Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution/index.html
index 64c842a5..260b9c93 100644
--- a/100 Reference notes/101 Literature/Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution/index.html
+++ b/100 Reference notes/101 Literature/Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/EVA-02 - A Visual Representation for Neon Genesis/index.html b/100 Reference notes/101 Literature/EVA-02 - A Visual Representation for Neon Genesis/index.html
index c1991578..1651c718 100644
--- a/100 Reference notes/101 Literature/EVA-02 - A Visual Representation for Neon Genesis/index.html
+++ b/100 Reference notes/101 Literature/EVA-02 - A Visual Representation for Neon Genesis/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Early Convolutions Help Transformers See Better/index.html b/100 Reference notes/101 Literature/Early Convolutions Help Transformers See Better/index.html
index 7fba0652..d14b2f0c 100644
--- a/100 Reference notes/101 Literature/Early Convolutions Help Transformers See Better/index.html
+++ b/100 Reference notes/101 Literature/Early Convolutions Help Transformers See Better/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Efficient Equivariant Transfer Learning from Pretrained Models/index.html b/100 Reference notes/101 Literature/Efficient Equivariant Transfer Learning from Pretrained Models/index.html
index d11364e9..296c6070 100644
--- a/100 Reference notes/101 Literature/Efficient Equivariant Transfer Learning from Pretrained Models/index.html
+++ b/100 Reference notes/101 Literature/Efficient Equivariant Transfer Learning from Pretrained Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Efficient Modulation for Vision Networks/index.html b/100 Reference notes/101 Literature/Efficient Modulation for Vision Networks/index.html
index a48aca2a..33b96991 100644
--- a/100 Reference notes/101 Literature/Efficient Modulation for Vision Networks/index.html
+++ b/100 Reference notes/101 Literature/Efficient Modulation for Vision Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/EfficientViT-SAM - Accelerated Segment Anything Model Without Accuracy Loss/index.html b/100 Reference notes/101 Literature/EfficientViT-SAM - Accelerated Segment Anything Model Without Accuracy Loss/index.html
index 0ebbf2fe..b0da0fc7 100644
--- a/100 Reference notes/101 Literature/EfficientViT-SAM - Accelerated Segment Anything Model Without Accuracy Loss/index.html
+++ b/100 Reference notes/101 Literature/EfficientViT-SAM - Accelerated Segment Anything Model Without Accuracy Loss/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Emergent Equivariance in Deep Ensembles/index.html b/100 Reference notes/101 Literature/Emergent Equivariance in Deep Ensembles/index.html
index f86f0774..60f7ba6f 100644
--- a/100 Reference notes/101 Literature/Emergent Equivariance in Deep Ensembles/index.html
+++ b/100 Reference notes/101 Literature/Emergent Equivariance in Deep Ensembles/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Emerging Properties in Self-Supervised Vision Transformers/index.html b/100 Reference notes/101 Literature/Emerging Properties in Self-Supervised Vision Transformers/index.html
index 3e279710..45066ebc 100644
--- a/100 Reference notes/101 Literature/Emerging Properties in Self-Supervised Vision Transformers/index.html
+++ b/100 Reference notes/101 Literature/Emerging Properties in Self-Supervised Vision Transformers/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/End-to-End Object Detection with Transformers/index.html b/100 Reference notes/101 Literature/End-to-End Object Detection with Transformers/index.html
index 70ee0164..fd568355 100644
--- a/100 Reference notes/101 Literature/End-to-End Object Detection with Transformers/index.html
+++ b/100 Reference notes/101 Literature/End-to-End Object Detection with Transformers/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Equi-Tuning - Group Equivariant Fine-Tuning of Pretrained Models/index.html b/100 Reference notes/101 Literature/Equi-Tuning - Group Equivariant Fine-Tuning of Pretrained Models/index.html
index b866e66c..58ca2114 100644
--- a/100 Reference notes/101 Literature/Equi-Tuning - Group Equivariant Fine-Tuning of Pretrained Models/index.html
+++ b/100 Reference notes/101 Literature/Equi-Tuning - Group Equivariant Fine-Tuning of Pretrained Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Equivariance with Learned Canonicalization Functions/index.html b/100 Reference notes/101 Literature/Equivariance with Learned Canonicalization Functions/index.html
index 67878cd1..db525be8 100644
--- a/100 Reference notes/101 Literature/Equivariance with Learned Canonicalization Functions/index.html
+++ b/100 Reference notes/101 Literature/Equivariance with Learned Canonicalization Functions/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Equivariance-aware architectural optimization of neural networks/index.html b/100 Reference notes/101 Literature/Equivariance-aware architectural optimization of neural networks/index.html
index cc85121e..bf9168bf 100644
--- a/100 Reference notes/101 Literature/Equivariance-aware architectural optimization of neural networks/index.html
+++ b/100 Reference notes/101 Literature/Equivariance-aware architectural optimization of neural networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers/index.html b/100 Reference notes/101 Literature/Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers/index.html
index 6333f80d..57aba428 100644
--- a/100 Reference notes/101 Literature/Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers/index.html
+++ b/100 Reference notes/101 Literature/Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Exploiting Redundancy - Separable Group Convolutional Networks on Lie Groups/index.html b/100 Reference notes/101 Literature/Exploiting Redundancy - Separable Group Convolutional Networks on Lie Groups/index.html
index 7261f2e6..78751f7d 100644
--- a/100 Reference notes/101 Literature/Exploiting Redundancy - Separable Group Convolutional Networks on Lie Groups/index.html
+++ b/100 Reference notes/101 Literature/Exploiting Redundancy - Separable Group Convolutional Networks on Lie Groups/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Exploring Plain Vision Transformer Backbones for Object Detection/index.html b/100 Reference notes/101 Literature/Exploring Plain Vision Transformer Backbones for Object Detection/index.html
index 0ee5cd93..e8b52da9 100644
--- a/100 Reference notes/101 Literature/Exploring Plain Vision Transformer Backbones for Object Detection/index.html
+++ b/100 Reference notes/101 Literature/Exploring Plain Vision Transformer Backbones for Object Detection/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space/index.html b/100 Reference notes/101 Literature/Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space/index.html
index 6b4675c0..e50aabb9 100644
--- a/100 Reference notes/101 Literature/Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space/index.html
+++ b/100 Reference notes/101 Literature/Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/FlexiViT - One Model for All Patch Sizes/index.html b/100 Reference notes/101 Literature/FlexiViT - One Model for All Patch Sizes/index.html
index bad3db07..8af65fa6 100644
--- a/100 Reference notes/101 Literature/FlexiViT - One Model for All Patch Sizes/index.html
+++ b/100 Reference notes/101 Literature/FlexiViT - One Model for All Patch Sizes/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/G-SGD - Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space/index.html b/100 Reference notes/101 Literature/G-SGD - Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space/index.html
index 450e61e8..ebf880e3 100644
--- a/100 Reference notes/101 Literature/G-SGD - Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space/index.html
+++ b/100 Reference notes/101 Literature/G-SGD - Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Grokked Transformers are Implicit Reasoners - A Mechanistic Journey to the Edge of Generalization/index.html b/100 Reference notes/101 Literature/Grokked Transformers are Implicit Reasoners - A Mechanistic Journey to the Edge of Generalization/index.html
index 4f947355..104f109a 100644
--- a/100 Reference notes/101 Literature/Grokked Transformers are Implicit Reasoners - A Mechanistic Journey to the Edge of Generalization/index.html
+++ b/100 Reference notes/101 Literature/Grokked Transformers are Implicit Reasoners - A Mechanistic Journey to the Edge of Generalization/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Harmonics of Learning - Universal Fourier Features Emerge in Invariant Networks/index.html b/100 Reference notes/101 Literature/Harmonics of Learning - Universal Fourier Features Emerge in Invariant Networks/index.html
index 10cfbc55..65c878b4 100644
--- a/100 Reference notes/101 Literature/Harmonics of Learning - Universal Fourier Features Emerge in Invariant Networks/index.html
+++ b/100 Reference notes/101 Literature/Harmonics of Learning - Universal Fourier Features Emerge in Invariant Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/How do vision transformers work?/index.html b/100 Reference notes/101 Literature/How do vision transformers work?/index.html
index 09a893af..6fc949c2 100644
--- a/100 Reference notes/101 Literature/How do vision transformers work?/index.html
+++ b/100 Reference notes/101 Literature/How do vision transformers work?/index.html
@@ -7090,6 +7090,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Hydra - Bidirectional State Space Models Through Generalized Matrix Mixers/index.html b/100 Reference notes/101 Literature/Hydra - Bidirectional State Space Models Through Generalized Matrix Mixers/index.html
index c88d6d16..60d0c07d 100644
--- a/100 Reference notes/101 Literature/Hydra - Bidirectional State Space Models Through Generalized Matrix Mixers/index.html
+++ b/100 Reference notes/101 Literature/Hydra - Bidirectional State Space Models Through Generalized Matrix Mixers/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Improving Convergence and Generalization Using Parameter Symmetries/index.html b/100 Reference notes/101 Literature/Improving Convergence and Generalization Using Parameter Symmetries/index.html
index fb22e5cc..467eb97a 100644
--- a/100 Reference notes/101 Literature/Improving Convergence and Generalization Using Parameter Symmetries/index.html
+++ b/100 Reference notes/101 Literature/Improving Convergence and Generalization Using Parameter Symmetries/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/In Search of Projectively Equivariant Networks/index.html b/100 Reference notes/101 Literature/In Search of Projectively Equivariant Networks/index.html
index 13969dd3..3c700b26 100644
--- a/100 Reference notes/101 Literature/In Search of Projectively Equivariant Networks/index.html
+++ b/100 Reference notes/101 Literature/In Search of Projectively Equivariant Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models/index.html b/100 Reference notes/101 Literature/Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models/index.html
index 20cd526d..76ecf1f2 100644
--- a/100 Reference notes/101 Literature/Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models/index.html
+++ b/100 Reference notes/101 Literature/Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/LRP-QViT - Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation/index.html b/100 Reference notes/101 Literature/LRP-QViT - Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation/index.html
index c244ffb0..e97c6410 100644
--- a/100 Reference notes/101 Literature/LRP-QViT - Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation/index.html
+++ b/100 Reference notes/101 Literature/LRP-QViT - Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Learned Gridification for Efficient Point Cloud Processing/index.html b/100 Reference notes/101 Literature/Learned Gridification for Efficient Point Cloud Processing/index.html
index 6cd323c5..e3761675 100644
--- a/100 Reference notes/101 Literature/Learned Gridification for Efficient Point Cloud Processing/index.html
+++ b/100 Reference notes/101 Literature/Learned Gridification for Efficient Point Cloud Processing/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Learning Partial Equivariances from Data/index.html b/100 Reference notes/101 Literature/Learning Partial Equivariances from Data/index.html
index 21680824..dedf67f1 100644
--- a/100 Reference notes/101 Literature/Learning Partial Equivariances from Data/index.html
+++ b/100 Reference notes/101 Literature/Learning Partial Equivariances from Data/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Learning both Weights and Connections for Efficient Neural Networks/index.html b/100 Reference notes/101 Literature/Learning both Weights and Connections for Efficient Neural Networks/index.html
index 543b098f..52aac1bf 100644
--- a/100 Reference notes/101 Literature/Learning both Weights and Connections for Efficient Neural Networks/index.html
+++ b/100 Reference notes/101 Literature/Learning both Weights and Connections for Efficient Neural Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Learning with Unmasked Tokens Drives Stronger Vision Learners/index.html b/100 Reference notes/101 Literature/Learning with Unmasked Tokens Drives Stronger Vision Learners/index.html
index 834c7630..e291fd97 100644
--- a/100 Reference notes/101 Literature/Learning with Unmasked Tokens Drives Stronger Vision Learners/index.html
+++ b/100 Reference notes/101 Literature/Learning with Unmasked Tokens Drives Stronger Vision Learners/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Llama 2 - Open Foundation and Fine-Tuned Chat Models/index.html b/100 Reference notes/101 Literature/Llama 2 - Open Foundation and Fine-Tuned Chat Models/index.html
index 5dcfb634..b695a497 100644
--- a/100 Reference notes/101 Literature/Llama 2 - Open Foundation and Fine-Tuned Chat Models/index.html
+++ b/100 Reference notes/101 Literature/Llama 2 - Open Foundation and Fine-Tuned Chat Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/LoRA - Low-Rank Adaptation of Large Language Models/index.html b/100 Reference notes/101 Literature/LoRA - Low-Rank Adaptation of Large Language Models/index.html
index 1de109f9..bdfe2cff 100644
--- a/100 Reference notes/101 Literature/LoRA - Low-Rank Adaptation of Large Language Models/index.html
+++ b/100 Reference notes/101 Literature/LoRA - Low-Rank Adaptation of Large Language Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Mamba - Linear-Time Sequence Modeling with Selective State Spaces/index.html b/100 Reference notes/101 Literature/Mamba - Linear-Time Sequence Modeling with Selective State Spaces/index.html
index dbc49ff5..5dc35668 100644
--- a/100 Reference notes/101 Literature/Mamba - Linear-Time Sequence Modeling with Selective State Spaces/index.html
+++ b/100 Reference notes/101 Literature/Mamba - Linear-Time Sequence Modeling with Selective State Spaces/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Memorization Through the Lens of Curvature of Loss Function Around Samples/index.html b/100 Reference notes/101 Literature/Memorization Through the Lens of Curvature of Loss Function Around Samples/index.html
index ab1855da..7c97c678 100644
--- a/100 Reference notes/101 Literature/Memorization Through the Lens of Curvature of Loss Function Around Samples/index.html
+++ b/100 Reference notes/101 Literature/Memorization Through the Lens of Curvature of Loss Function Around Samples/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Mixture of LoRa Experts/index.html b/100 Reference notes/101 Literature/Mixture of LoRa Experts/index.html
index 324b3b64..35b1cd85 100644
--- a/100 Reference notes/101 Literature/Mixture of LoRa Experts/index.html
+++ b/100 Reference notes/101 Literature/Mixture of LoRa Experts/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/MobileCLIP - Fast Image-Text Models through Multi-Modal Reinforced Training/index.html b/100 Reference notes/101 Literature/MobileCLIP - Fast Image-Text Models through Multi-Modal Reinforced Training/index.html
index 18b4d30f..7ea05344 100644
--- a/100 Reference notes/101 Literature/MobileCLIP - Fast Image-Text Models through Multi-Modal Reinforced Training/index.html
+++ b/100 Reference notes/101 Literature/MobileCLIP - Fast Image-Text Models through Multi-Modal Reinforced Training/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/MobileViT - light-weight, general-purpose, and mobile-friendly vision transformer/index.html b/100 Reference notes/101 Literature/MobileViT - light-weight, general-purpose, and mobile-friendly vision transformer/index.html
index aec5eea4..77ba0851 100644
--- a/100 Reference notes/101 Literature/MobileViT - light-weight, general-purpose, and mobile-friendly vision transformer/index.html
+++ b/100 Reference notes/101 Literature/MobileViT - light-weight, general-purpose, and mobile-friendly vision transformer/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Model Compression in Practice - Lessons Learned from Practitioners Creating On-device Machine Learning Experiences/index.html b/100 Reference notes/101 Literature/Model Compression in Practice - Lessons Learned from Practitioners Creating On-device Machine Learning Experiences/index.html
index cae79e22..48d14646 100644
--- a/100 Reference notes/101 Literature/Model Compression in Practice - Lessons Learned from Practitioners Creating On-device Machine Learning Experiences/index.html
+++ b/100 Reference notes/101 Literature/Model Compression in Practice - Lessons Learned from Practitioners Creating On-device Machine Learning Experiences/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Neural Mechanics - Symmetry and Broken Conservation Laws in Deep Learning Dynamics/index.html b/100 Reference notes/101 Literature/Neural Mechanics - Symmetry and Broken Conservation Laws in Deep Learning Dynamics/index.html
index 501a40e4..f5964876 100644
--- a/100 Reference notes/101 Literature/Neural Mechanics - Symmetry and Broken Conservation Laws in Deep Learning Dynamics/index.html
+++ b/100 Reference notes/101 Literature/Neural Mechanics - Symmetry and Broken Conservation Laws in Deep Learning Dynamics/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models/index.html b/100 Reference notes/101 Literature/On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models/index.html
index 75ccdc1d..6dcb3958 100644
--- a/100 Reference notes/101 Literature/On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models/index.html
+++ b/100 Reference notes/101 Literature/On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/On the Relationship between Self-Attention and Convolutional Layers/index.html b/100 Reference notes/101 Literature/On the Relationship between Self-Attention and Convolutional Layers/index.html
index 5ff7da75..071f2745 100644
--- a/100 Reference notes/101 Literature/On the Relationship between Self-Attention and Convolutional Layers/index.html
+++ b/100 Reference notes/101 Literature/On the Relationship between Self-Attention and Convolutional Layers/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/On the Symmetries of Deep Learning Models and their Internal Representations/index.html b/100 Reference notes/101 Literature/On the Symmetries of Deep Learning Models and their Internal Representations/index.html
index 1ba3d65d..a957c64d 100644
--- a/100 Reference notes/101 Literature/On the Symmetries of Deep Learning Models and their Internal Representations/index.html
+++ b/100 Reference notes/101 Literature/On the Symmetries of Deep Learning Models and their Internal Representations/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/OpenELM - An Efficient Language Model Family with Open-source Training and Inference Framework/index.html b/100 Reference notes/101 Literature/OpenELM - An Efficient Language Model Family with Open-source Training and Inference Framework/index.html
index 00cb2644..fcb67cec 100644
--- a/100 Reference notes/101 Literature/OpenELM - An Efficient Language Model Family with Open-source Training and Inference Framework/index.html
+++ b/100 Reference notes/101 Literature/OpenELM - An Efficient Language Model Family with Open-source Training and Inference Framework/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Optimal Brain Damage/index.html b/100 Reference notes/101 Literature/Optimal Brain Damage/index.html
index 3a71a8f1..d18023ee 100644
--- a/100 Reference notes/101 Literature/Optimal Brain Damage/index.html
+++ b/100 Reference notes/101 Literature/Optimal Brain Damage/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Optimization Dynamics of Equivariant and Augmented Neural Networks/index.html b/100 Reference notes/101 Literature/Optimization Dynamics of Equivariant and Augmented Neural Networks/index.html
index 3caeb339..840d1a49 100644
--- a/100 Reference notes/101 Literature/Optimization Dynamics of Equivariant and Augmented Neural Networks/index.html
+++ b/100 Reference notes/101 Literature/Optimization Dynamics of Equivariant and Augmented Neural Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting/index.html b/100 Reference notes/101 Literature/Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting/index.html
index 887045f9..2897ccde 100644
--- a/100 Reference notes/101 Literature/Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting/index.html
+++ b/100 Reference notes/101 Literature/Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting/index.html
@@ -7075,6 +7075,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models - A Survey/index.html b/100 Reference notes/101 Literature/Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models - A Survey/index.html
index af7a9201..4080b1d5 100644
--- a/100 Reference notes/101 Literature/Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models - A Survey/index.html
+++ b/100 Reference notes/101 Literature/Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models - A Survey/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Progress measures for grokking via mechanistic interpretability/index.html b/100 Reference notes/101 Literature/Progress measures for grokking via mechanistic interpretability/index.html
index 0ac53a5e..2a3dd8c7 100644
--- a/100 Reference notes/101 Literature/Progress measures for grokking via mechanistic interpretability/index.html
+++ b/100 Reference notes/101 Literature/Progress measures for grokking via mechanistic interpretability/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Provably Strict Generalisation Benefit for Equivariant Models/index.html b/100 Reference notes/101 Literature/Provably Strict Generalisation Benefit for Equivariant Models/index.html
index 5ec8a168..61a36345 100644
--- a/100 Reference notes/101 Literature/Provably Strict Generalisation Benefit for Equivariant Models/index.html
+++ b/100 Reference notes/101 Literature/Provably Strict Generalisation Benefit for Equivariant Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware/index.html b/100 Reference notes/101 Literature/ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware/index.html
index 72e3b0dc..88cf45af 100644
--- a/100 Reference notes/101 Literature/ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware/index.html
+++ b/100 Reference notes/101 Literature/ProxylessNAS - Direct Neural Architecture Search on Target Task and Hardware/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/R-MAE - Regions Meet Masked Autoencoders/index.html b/100 Reference notes/101 Literature/R-MAE - Regions Meet Masked Autoencoders/index.html
index b950f344..9cbd49db 100644
--- a/100 Reference notes/101 Literature/R-MAE - Regions Meet Masked Autoencoders/index.html
+++ b/100 Reference notes/101 Literature/R-MAE - Regions Meet Masked Autoencoders/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Refusal in Language Models Is Mediated by a Single Direction/index.html b/100 Reference notes/101 Literature/Refusal in Language Models Is Mediated by a Single Direction/index.html
index 9f32c39b..5cd379e5 100644
--- a/100 Reference notes/101 Literature/Refusal in Language Models Is Mediated by a Single Direction/index.html
+++ b/100 Reference notes/101 Literature/Refusal in Language Models Is Mediated by a Single Direction/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems/index.html b/100 Reference notes/101 Literature/Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems/index.html
index ef87bae1..60bbdeb9 100644
--- a/100 Reference notes/101 Literature/Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems/index.html
+++ b/100 Reference notes/101 Literature/Relaxed Octahedral Group Convolution for Learning Symmetry Breaking in 3D Physical Systems/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Relaxing Equivariance Constraints with Non-stationary Continuous Filters/index.html b/100 Reference notes/101 Literature/Relaxing Equivariance Constraints with Non-stationary Continuous Filters/index.html
index 64ac4165..0524933d 100644
--- a/100 Reference notes/101 Literature/Relaxing Equivariance Constraints with Non-stationary Continuous Filters/index.html
+++ b/100 Reference notes/101 Literature/Relaxing Equivariance Constraints with Non-stationary Continuous Filters/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Retrospective - EIE - Efficient Inference Engine onSparse and Compressed Neural Network/index.html b/100 Reference notes/101 Literature/Retrospective - EIE - Efficient Inference Engine onSparse and Compressed Neural Network/index.html
index 06d9f5dd..8bbd383d 100644
--- a/100 Reference notes/101 Literature/Retrospective - EIE - Efficient Inference Engine onSparse and Compressed Neural Network/index.html
+++ b/100 Reference notes/101 Literature/Retrospective - EIE - Efficient Inference Engine onSparse and Compressed Neural Network/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Revealing the Utilized Rank of Subspaces of Learning in Neural Networks/index.html b/100 Reference notes/101 Literature/Revealing the Utilized Rank of Subspaces of Learning in Neural Networks/index.html
index 20d52e60..06335c13 100644
--- a/100 Reference notes/101 Literature/Revealing the Utilized Rank of Subspaces of Learning in Neural Networks/index.html
+++ b/100 Reference notes/101 Literature/Revealing the Utilized Rank of Subspaces of Learning in Neural Networks/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Rewrite the Stars/index.html b/100 Reference notes/101 Literature/Rewrite the Stars/index.html
index 89cb14c5..427deb5c 100644
--- a/100 Reference notes/101 Literature/Rewrite the Stars/index.html
+++ b/100 Reference notes/101 Literature/Rewrite the Stars/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/SAM-CLIP - Merging Vision Foundation Models towards Semantic and Spatial Understanding/index.html b/100 Reference notes/101 Literature/SAM-CLIP - Merging Vision Foundation Models towards Semantic and Spatial Understanding/index.html
index bc6697b1..540c0bed 100644
--- a/100 Reference notes/101 Literature/SAM-CLIP - Merging Vision Foundation Models towards Semantic and Spatial Understanding/index.html
+++ b/100 Reference notes/101 Literature/SAM-CLIP - Merging Vision Foundation Models towards Semantic and Spatial Understanding/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Scaling (Down) CLIP - A Comprehensive Analysis of Data, Architecture, and Training Strategies/index.html b/100 Reference notes/101 Literature/Scaling (Down) CLIP - A Comprehensive Analysis of Data, Architecture, and Training Strategies/index.html
index dbaf474e..95a1f921 100644
--- a/100 Reference notes/101 Literature/Scaling (Down) CLIP - A Comprehensive Analysis of Data, Architecture, and Training Strategies/index.html
+++ b/100 Reference notes/101 Literature/Scaling (Down) CLIP - A Comprehensive Analysis of Data, Architecture, and Training Strategies/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Segment Anything/index.html b/100 Reference notes/101 Literature/Segment Anything/index.html
index be402197..b85bfb64 100644
--- a/100 Reference notes/101 Literature/Segment Anything/index.html
+++ b/100 Reference notes/101 Literature/Segment Anything/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries/index.html b/100 Reference notes/101 Literature/Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries/index.html
index ffad4360..e5870cd1 100644
--- a/100 Reference notes/101 Literature/Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries/index.html
+++ b/100 Reference notes/101 Literature/Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/SimPLR - A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation/index.html b/100 Reference notes/101 Literature/SimPLR - A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation/index.html
index c8f39067..7c9f9e18 100644
--- a/100 Reference notes/101 Literature/SimPLR - A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation/index.html
+++ b/100 Reference notes/101 Literature/SimPLR - A Simple and Plain Transformer for Scaling-Efficient Object Detection and Segmentation/index.html
@@ -7066,6 +7066,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Simultaneous linear connectivity of neural networks modulo permutation/index.html b/100 Reference notes/101 Literature/Simultaneous linear connectivity of neural networks modulo permutation/index.html
index 6e84e867..11728fa1 100644
--- a/100 Reference notes/101 Literature/Simultaneous linear connectivity of neural networks modulo permutation/index.html
+++ b/100 Reference notes/101 Literature/Simultaneous linear connectivity of neural networks modulo permutation/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Stand-Alone Self-Attention in Vision Models/index.html b/100 Reference notes/101 Literature/Stand-Alone Self-Attention in Vision Models/index.html
index fbc4f74d..2839c5d5 100644
--- a/100 Reference notes/101 Literature/Stand-Alone Self-Attention in Vision Models/index.html
+++ b/100 Reference notes/101 Literature/Stand-Alone Self-Attention in Vision Models/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Surgical Fine-Tuning Improves Adaptation to Distribution Shifts/index.html b/100 Reference notes/101 Literature/Surgical Fine-Tuning Improves Adaptation to Distribution Shifts/index.html
index ea7e50f9..69d30d88 100644
--- a/100 Reference notes/101 Literature/Surgical Fine-Tuning Improves Adaptation to Distribution Shifts/index.html
+++ b/100 Reference notes/101 Literature/Surgical Fine-Tuning Improves Adaptation to Distribution Shifts/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Surgical-DINO - Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery/index.html b/100 Reference notes/101 Literature/Surgical-DINO - Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery/index.html
index 6db134b5..e98d244e 100644
--- a/100 Reference notes/101 Literature/Surgical-DINO - Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery/index.html
+++ b/100 Reference notes/101 Literature/Surgical-DINO - Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Symmetries in Overparametrized Neural Networks - A Mean-Field View/index.html b/100 Reference notes/101 Literature/Symmetries in Overparametrized Neural Networks - A Mean-Field View/index.html
index c9526e9c..e217f40d 100644
--- a/100 Reference notes/101 Literature/Symmetries in Overparametrized Neural Networks - A Mean-Field View/index.html
+++ b/100 Reference notes/101 Literature/Symmetries in Overparametrized Neural Networks - A Mean-Field View/index.html
@@ -7024,6 +7024,27 @@
+
+
+
+
+
+ GPU mode Sparsity
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/100 Reference notes/101 Literature/Talaria - Interactively Optimizing Machine Learning Models for Efficient Inference/index.html b/100 Reference notes/101 Literature/Talaria - Interactively Optimizing Machine Learning Models for Efficient Inference/index.html
index 72df769a..cce586a9 100644
--- a/100 Reference notes/101 Literature/Talaria - Interactively Optimizing Machine Learning Models for Efficient Inference/index.html
+++ b/100 Reference notes/101 Literature/Talaria - Interactively Optimizing Machine Learning Models for Efficient Inference/index.html
@@ -7024,6 +7024,27 @@
+
+