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chaithyagr/README.md

Hi there 👋

I am Chaithya G R, a researcher in INRIA-CEA MIND team working at Neurospin, CEA Paris-Saclay. I primarily work with Inria in the MIND team and Neurospin in the METRIC team

The topic of my PhD is deep learning for joint optimizing k-space sampling trajectory and MRI reconstruction, particularly non-Cartesian MRI. This made me interested in all things connected to:

  • convex non-smooth optimization
  • MRI and healthcare, particularly trajectory design, sequence development and reconstructions
  • deep learning

I like to write TensorFlow, PyTorch codes not only to write neural networks but also to build other related functionalities. I particularly love to build onto algorithms to drastically speed up computations through GPU implementations or parallel computations, algorithmic development etc. Open source is definitely my motto.

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  1. pysap-mri pysap-mri Public

    Forked from CEA-COSMIC/pysap-mri

    Python 1

  2. gpuNUFFT gpuNUFFT Public

    Forked from andyschwarzl/gpuNUFFT

    gpuNUFFT - An Open-Source GPU Library for 3D Gridding with Direct Matlab Interface

    C++ 1 1

  3. ModOpt ModOpt Public

    Forked from CEA-COSMIC/ModOpt

    Modular Optimisation tools for solving inverse problems

    Python

  4. pysap pysap Public

    Forked from CEA-COSMIC/pysap

    PYthon Sparse data Analysis Package

    Python

  5. rapidsai/cuml rapidsai/cuml Public

    cuML - RAPIDS Machine Learning Library

    C++ 4.2k 532