init repo

Author: yangcedrus

.gitignore

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+# Custom files
+.DS_Store
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# IDE
+.idea/
+.vscode/
+
+results/*

.pre-commit-config.yaml

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+repos:
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.0.1
+    hooks:
+      - id: check-yaml
+      - id: end-of-file-fixer
+      - id: trailing-whitespace
+      - id: requirements-txt-fixer
+      - id: fix-encoding-pragma
+  - repo: https://github.com/psf/black
+    rev: 21.7b0
+    hooks:
+      - id: black
+        args: [ '--line-length', '100' ]
+        language_version: python3
+  - repo: https://gitlab.com/pycqa/flake8
+    rev: 3.9.2
+    hooks:
+      - id: flake8
+        args: [ '--max-line-length','100','--ignore','E731, E403, W503, E501, E203, F403, F401, E402', ]

.readthedocs.yaml

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+# .readthedocs.yaml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+# Required
+version: 2
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+  configuration: docs/conf.py
+
+# Optionally build your docs in additional formats such as PDF
+formats:
+  - pdf
+
+# Optionally set the version of Python and requirements required to build your docs
+python:
+  version: "3.7"
+  install:
+    - requirements: docs/requirements.txt

README.md

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+# LibFewShot
+Make few shot learning easy.
+
+## Supported Methods
+### Meta
++ MAML(ICML'17)
++ ANIL(ICLR'20)
++ R2D2(ICLR'19)
++ Versa(NeurIPS'18)
++ LEO(ICLR'19)
++ MTL(CVPR'19)
+### Metric
++ ProtoNet(NeuraIPS'17)
++ RelationNet(CVPR'18)
++ ConvaMNet(AAAI'19)
++ DN4(CVPR'19)
++ CAN(NeuraIPS'19)
+### Finetuning
++ Baseline(ICLR'19)
++ Baseline++(ICLR'19)
++ RFS(ECCV'20)
++ SKD(arxiv'20)
+
+
+## Quick Installnation
+
+Please refer to [install.md](https://doc-test-en.readthedocs.io/en/latest/install.html)([安装](https://doc-test-en.readthedocs.io/zh_CN/latest/install.html)) for installation.
+
+Full tutorials can be found at [document](https://doc-test-en.readthedocs.io/en/latest/)([中文文档](https://doc-test-en.readthedocs.io/zh_CN/latest/index.html)).
+
+## Contributing
+Feel free to contribute any kind of function or enhancement, here the coding style follows PEP8. Please refer to [contributing.md](https://doc-test-en.readthedocs.io/en/latest/contributing.html)([贡献代码](https://doc-test-en.readthedocs.io/zh_CN/latest/contributing.html)) for the contributing guideline.
+
+## License
+This project is licensed under the MIT License. See  LICENSE for more details
+
+## Acknowledgement
+LibFewShot is an open source project designed to help few shot learning researchers quickly understand the classic methods and code structures. We welcome other contributors to use the LibFewShot framework to implement some methods and add them to this library. This library can be used for academic research. We welcome researchers in the field of fes shot learning to use LibFewShot to implement their own methods, and welcome feedback when using LibFewShot. We will try our best to improve the library.
+
+## Citation
+If you use this code for your research, please cite our paper.
+```
+@article{li2021LibFewShot,
+  title={LibFewShot: A Comprehensive Library for Few-shot Learning},
+  author={Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo},
+  journal={arXiv preprint arXiv:2109.04898},
+  year={2021}
+}
+```

config/adm.yaml

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+includes:
+  - headers/data.yaml
+  - headers/device.yaml
+  - headers/losses.yaml
+  - headers/misc.yaml
+  - headers/model.yaml
+  - headers/optimizer.yaml
+  - classifiers/ADM.yaml
+
+way_num: 5
+shot_num: 1
+query_num: 15
+
+backbone:
+  name: Conv64F
+  kwargs:
+    is_flatten: False
+    is_feature: False
+    leaky_relu: True
+    negative_slope: 0.2
+    last_pool: False
+
+
+# backbone:
+#   name: resnet12
+#   kwargs: 
+#     maxpool_last2: False
+#     is_flatten: False
+
+
+# need to modify: core/model/backbone/resnet_18.py:114 stride=1
+# backbone:
+#   name: resnet18
+#   kwargs: 
+#     is_flatten: False
+#     avg_pool: False
+
+
+# backbone:
+#   name: WRN
+#   kwargs: 
+#     depth: 28
+#     widen_factor: 10
+#     avg_pool: False
+#     is_flatten: False

config/adm_kl.yaml

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+includes:
+  - headers/data.yaml
+  - headers/device.yaml
+  - headers/losses.yaml
+  - headers/misc.yaml
+  - headers/model.yaml
+  - headers/optimizer.yaml
+  - classifiers/ADM_KL.yaml
+
+device_ids: 2
+
+way_num: 5
+shot_num: 1
+query_num: 15
+test_way: 5 # use ~ -> test_* = *_num
+test_shot: 1
+test_query: 15
+
+
+# backbone:
+#   name: Conv64F
+#   kwargs:
+#     is_flatten: False
+#     is_feature: False
+#     leaky_relu: True
+#     negative_slope: 0.2
+#     last_pool: False
+
+
+# backbone:
+#   name: resnet12
+#   kwargs: 
+#     maxpool_last2: False
+#     is_flatten: False
+
+
+# need to modify: core/model/backbone/resnet_18.py:114 stride=1
+# backbone:
+#   name: resnet18
+#   kwargs: 
+#     is_flatten: False
+#     avg_pool: False
+
+
+backbone:
+  name: WRN
+  kwargs: 
+    depth: 28
+    widen_factor: 10
+    avg_pool: False
+    is_flatten: False

config/anil.yaml

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+includes:
+  - headers/data.yaml
+  - headers/device.yaml
+  - headers/losses.yaml
+  - headers/misc.yaml
+  - headers/model.yaml
+  - headers/optimizer.yaml
+  - classifiers/ANIL.yaml
+  - backbones/resnet12.yaml
+
+
+device_ids: 0
+way_num: 5
+shot_num: 1
+query_num: 15
+test_way: 5 # use ~ -> test_* = *_num
+test_shot: 1
+test_query: 15
+episode_size: 1
+train_episode: 100
+test_episode: 100
+
+backbone:
+  name: Conv64F
+  kwargs:
+    is_flatten: True
+    is_feature: False
+    leaky_relu: False
+    negative_slope: 0.2
+    last_pool: True
+
+# backbone:
+#   name: resnet12
+#   kwargs:
+#     keep_prob: 0.0
+
+# backbone:
+#   name: resnet18
+#   kwargs:
+
+# backbone:
+#   name: WRN
+#   kwargs:
+#     depth: 10
+#     widen_factor: 10
+#     dropRate: 0.0
+#     avg_pool: True
+#     is_flatten: True