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pix2pixhd

2048x1024 image synthesis and mainpulation with conditional GANs

powerful-gnns

How Powerful are Graph Neural Networks?

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

prednet

Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"

prednet_pytorch

A pytorch reimplement of PredNet, which is a deep recurrent convolutional neural network for video prediction and unsupervised learning.

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pseudo-3d-pytorch

pytorch version of pseudo-3d-residual-networks(P-3D), pretrained model is supported

pseudo-3d-residual-networks

Pseudo-3D Convolutional Residual Networks for Video Representation Learning

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyflow

Fast, accurate and easy to run dense optical flow with python wrapper

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

python-100-days

Python - 100天从新手到大师

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-book

PyTorch：入门与实践

pytorch-cortexnet

PyTorch implementation of the CortexNet predictive model

pytorch-cyclegan-and-pix2pix

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

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

pytorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

pytorch-rl

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

pytorch-sepconv

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

pytorch_c3d_feature_extractor

Pytorch C3D feature extractor

pytorch_structure2vec

pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)

referringrelationships

reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

reinvent

Molecular De Novo design using Recurrent Neural Networks and Reinforcement Learning

reliability-modeling-for-stock-comments

Reliability Modeling for Stock Comment

residual_adapters

resume

An elegant \LaTeX\ résumé template