DavidQiuChao

PBNFM

An implementation for noise model estimation method of "A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising", CVPR 2020.

Nb2Nb

This code implements the code of the paper ,"Neighbor2Neighbor:Self-Supervised Denoising From Single Noisy Images",in2021

PIE

Python code for "A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation" paper (2015 TIP).

CRM

A python implementation of "A New Low-Light Image Enhancement Algorithm using Camera Response Model", ICCV2017.

NPLIE

This code is a python implementation of the paper, "Illumination Estimation for Nature Preserving Low Light Image Enhancement",in 2020.

FastMultiScaleSPD

An unofficial python implementation of TIP2020 paper ,"Fast Multi-Scale Structural Patch Decomposition for Multi-Exposure Image Fusion".

Deformable-Kernels-For-Video-Denoising

This is an unoffial implementation of paper "Learning Deformable Kernels for Image and Video Denoising".

Attention-Mechanism-Enhanced-Kernel-Prediction-Network

This is an unoffial implementation of paper "Attention Mechanism Enhanced Kernel Prediction Network for Denoising of Burst Images" in 2019.

Multiscale-Edge-Preserving-Smoothing

An unofficial python implementation of paper "Exposure Measurement and Fusion via Adaptive Multiscale Edge-Preserving Smoothing".

Self-Guided-Network

an unofficial reimplementation of "Self-Guided Network for Fast Image Denoising"ICCV2019

TSWTNet

A tensorflow implementation of ECCV2020 paper "Burst Denoising via Temporally Shifted Wavelet Transforms".

DavidQiuChao

RG-CACHE

A python implementation of paper "Reflectance-Guided,Contrast-Accumulated Histogram Equalization".

Smartphone-Image-Denoising-Dataset

This is an unofficial implementation of defective pixels detection in paper "A High-Quality Denoising Dataset for Smartphone Cameras".

AiLearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

DenseCRF

a library for denseCRF

lihang-code

《统计学习方法》的代码实现

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

PRML

PRML algorithms implemented in Python

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"