My first website created for bootcamp application

Sigmanet: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction,

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning (http://jmlr.org/papers/v20/19-033.html)

Source code to our paper: "Learning a Variational Network for Reconstruction of Accelerated MRI Data"

A curated list of resources dedicated to bayesian deep learning

Deep Learning Toolkit for Medical Image Analysis

Radial sampling patterns in frequency space to support anisotropic field of views (FOVs) in the dual domain

Simple Poisson-like distribution generator for various rendering scenarios and sampling (disk, square, grid, repeating grid)

Generative Adversarial Networks (GANs) resources sorted by citations

Universal copy paste service, works across different machines!

snippet for docstring in numpy coding style