notes about machine learning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Collection of reproducible deep learning for compressive sensing

100-Days-Of-ML-Code中文版

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

A PyTorch library and evaluation platform for end-to-end compression research

Tensors and Dynamic neural networks in Python with strong GPU acceleration

C++ Implementation of PyTorch Tutorials for Everyone

Deep Learning sample programs using PyTorch in C++

PyTorch Tutorial for Deep Learning Researchers

fsrcnn use libtorch(c++) reimplement

PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

collection of super-resolution models & algorithms

Fast implementation of fsrcnn algorithm based on pytorch framework

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

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

ICASSP 2020 - ESRGAN+ : Further Improving Enhanced Super-Resolution Generative Adversarial Network - ICPR 2020 - Tarsier: Evolving Noise Injection in Super-Resolution GANs

re-implementation super resolution pytorch using ESRGAN

A simple implementation of esrgan, which uses the pytorch framework.

[PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

PyTorch implementations of Generative Adversarial Networks.