Popular GitHub Repositories for Color Contrast Checker

Image augmentation for machine learning experiments.

State of the Art Natural Language Processing

A fast type checker and IDE for Python

:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画

The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

This is a resouce list for low light image enhancement

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首，句子表征及文本相似度计算等功能

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

:oncoming_automobile: "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Flutter-Python rubiks cube solver.

An application for automated Docker container updates with a web UI

Network estimating 3D Handpose from single color images

NeuSpell: A Neural Spelling Correction Toolkit

[CVPR2025] HVI: A New Color Space for Low-light Image Enhancement && "You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement"

Real-time portrait segmentation for mobile devices