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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

retinanet-pytorch

这是一个retinanet-pytorch的源码，可以用于训练自己的模型。

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)

self-instruct

Aligning pretrained language models with instruction data generated by themselves.

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

semi-supervised-gan

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

semi-supervised_neural_network

A semi-supervised neural network

senet

Squeeze-and-Excitation Networks

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

shallow-dann-two-moon-dataset

Implementation: shallow Domain Adaptation Neural Network (DANN) with two moon dataset / % reference : https://arxiv.org/pdf/1505.07818v4.pdf

siamese-pytorch

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

softmax_variants

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss