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4models

for AlexNet, VGG, GoogleNet, ResNet

arl

attention residual learning

arraydirectivity

automap

dautomap

Implementation of dAUTOMAP (ISMRM2019) in Pytorch

deep-image-prior

Image restoration with neural networks but without learning.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

learned_primal_dual

Learned Primal-Dual Reconstruction

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

nts-net

This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang).

odl

Operator Discretization Library https://odlgroup.github.io/odl/

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-primaldual

A Pytorch implementation of Learned Primal-Dual Reconstruction (Adler & Öktem, 2017)

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

tools

tools for pytorch_model

y-net

The source code of "Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo"