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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-parallel-programming-cookbook-cn

📖《Python Parallel Programming Cookbook》中文版

python_numpy

Numpy of Python use

pythonbasic

平时工作中常用的Python零碎知识总结，爬虫学习总结与练习，Python数据分析学习总结，目前正在重新整理中......

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-captcha-recognition

pytorch-doc-zh

Pytorch 中文文档

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

pytorch-super-resolution

Super Resolution of low resolution Images in PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

questionwechatapp

微信答题小程序，PHP版本开发，云数据版本开发，智汇答题Plus小程序，智汇驾考小程序，智汇答题小程序，答题酷小程序。

rain-removal

randwirenn

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

ranksrgan

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

rbpn-pytorch

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

real-world-masked-face-dataset

Real-World Masked Face Dataset，口罩人脸数据集

realsr

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

realsr-1

Real-World Super-Resolution via Kernel Estimation and Noise Injection

realsr-2

[Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

rednet-pytorch

PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reproducible-deep-compressive-sensing

Collection of reproducible deep learning for compressive sensing

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

residualdensenetwork-pytorch

Pytorch implement: Residual Dense Network for Image Super-Resolution

resnest

ResNeSt: Split-Attention Network

ridnet

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

rl-cn

A translation of Reinforcement Learning: An Introduction

rnan

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"