tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch implementation of "SlowFast Networks for Video Recognition".

implement of slowfast networks

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

以撸代码的形式学习Python

A list of hyperspectral image super-solution resources collected by Junjun Jiang

PyTorch implementation of Super SloMo by Jiang et al.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Deformable Convolutional Networks v2 with Pytorch

Deformable Convolutional Networks

Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

MVSNet: Depth Inference for Unstructured Multi-view Stereo (ECCV2018, Oral Presentaion)

Source code of paper "Convolutional Sequence to Sequence Model for Human Dynamics"

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

implement of PixelShuffle3D module with pytorch

Pytorch implementation of RetinaNet object detection.

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

Anomaly detection on X-Ray MURA dataset using GAN.

Graph Convolutional Networks in PyTorch

Info and sample codes for "NTU RGB+D Action Recognition Dataset"

DeepMVS: Learning Multi-View Stereopsis

DeMoN: Depth and Motion Network

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.