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caffe

Caffe: a fast open framework for deep learning.

capsnet-tensorflow

With reconstruct, capsule representation, adversarial experiments. Implementation of NIPS2017 paper "Dynamic Routing Between Capsules" in tensorflow.

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

d-amp_toolbox

This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

dcgan_wgan_wgan-gp_lsgan_sngan_rsgan_began_acgan_pggan_tensorflow

Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deeplearning_wavelet-lstm

【本科毕业设计】LSTM + Wavelet（长短期记忆神经网络+小波分析）：深度学习与数字信号处理的结合

dwsrx4

DWSR x4 Deep wavelet prediction for image super-resolution

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution (Third Region)

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fmri_reconstruction

Python Framework for Reconstructing Images from BOLD fMRI

gnnpapers

Must-read papers on graph neural networks (GNN)

grappa

A repository to experiment on GRAPPA, with a TF backend. It also features some experiments on deep versions of GRAPPA

hello-world

exp

mri-cnn

Convolutional neural network in TensorFlow for magnetic resonance images reconstruction from frequency domain

pixelvae

Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013

pytorch_wavelets

Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT)

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

resnet_cifar

segnetcmr

A Tensorflow implementation of SegNet for cardiac MRI segmentation

tf

tensorflow examples

transfer_learning_tutorial

A guide to transfer learning with inception-resnet-v2.

vae

a simple vae and cvae from keras