guohf3 Goto Github PK

ca_entropy_model

Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"

coarse2fine-pytorch

compressai

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

compression

Data compression in TensorFlow

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dcnv2_latest

DCNv2 supports decent pytorch such as torch 1.5+ (now 1.8+)

deep-learning-big-data

Air Pollution and Smart City

deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

generative-compression

TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

hesic

Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]. vx: ywz978020607

ijkplayer

Android/iOS video player based on FFmpeg n3.4, with MediaCodec, VideoToolbox support.

innvestigate

A toolbox to iNNvestigate neural networks' predictions!

interpretability

Interpretability Techniques to Build Robust AI Applications

lucid

A collection of infrastructure and tools for research in neural network interpretability.

m-lvc_cvpr2020

ntttcp-for-linux

A Linux network throughput multiple-thread benchmark tool.

opendvc

pdpbox

python partial dependence plot toolbox

public-apis

A collective list of free APIs for use in software and web development.

pytorch-vcii

Video Compression through Image Interpolation (ECCV'18) [PyTorch]

pytorchvideocompression

PyTorch implementation and benchmark of Video Compression

shadowsocksr-csharp

shap

A unified approach to explain the output of any machine learning model.

skater

Python Library for Model Interpretation/Explanations

srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.