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pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-tutorial

Build your neural network easy and fast

pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

rcnn

R-CNN: Regions with Convolutional Neural Network Features

real-time-action-recognition

Real-time pose estimation and action recognition

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

reid-mgn

Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification

reinforce

reinforcement learning

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

reinforcement_learning_blog

This code is written for the blogs

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..

research

novel deep learning research works with PaddlePaddle

resnext-tensorflow

Simple Tensorflow implementation of ResNeXt using Cifar10

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

roi-pooling

scan

Code for Self-and-Collaborative Attention Network from "SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification" TIP2019

scan_pytorch

support pytorch>=0.4

selavi

This repo covers the implementation for Labelling unlabelled videos from scratch with multi-modal self-supervision, which learns clusters from multi-modal data in a self-supervised way.

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)

semi-auto-image-annotation-tool

Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model