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annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

anuraghazra

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

bsrdm

Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)

code_wstnn

matlab code

codeparkshare

Python初学者（零基础学习Python、Python入门）书籍、视频、资料、社区推荐

cossl

Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

efficientderain

we propose EfficientDerain for high-efficiency single-image deraining

fkp

Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)

graph-super-resolution

[CVPR 2022] Learning Graph Regularisation for Guided Super-Resolution

heavyrainremoval

An implementation of paper "Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning" (CVPR19)

hyperspectral-image-super-resolution-benchmark

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

image-super-resolution-via-iterative-refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

metamix

MetaMix for ICML 2021

multimae

MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

nerco

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

plotneuralnet

包含PlotNeuralNet绘制神经网络结构图的教程源码

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

raindirection-and-real3000-dataset

This repository contains an introduction and links to RainDirection and Real3000 datasets for paper Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer, Authors:Yang Liu, Ziyu Yue ,Jinshan Pan, Zhixun Su, Dalian University of Technology and Nanjing University of Science and Technology

rainds_ccn

Implementation of "Removing Raindrops and Rain Streaks in One Go"

rainmodel

Generate Rain / Haze synthetic data for training

rainstreakgen

Code for Generating Rain Streaks for paper "Single Image Deraining using Scale-Aware Multi-Stage Recurrent Network"

syra-synthesized_rain_dataset

Synthesized Rain dataset

usrnet

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)