Popular GitHub Repositories for Color Reduction

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.

Uniform Manifold Approximation and Projection

SwinIR: Image Restoration Using Swin Transformer (official repository)

Recurrent neural network for audio noise reduction

Module for automatic summarization of text documents and HTML pages.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

QualityScaler - image/video AI upscaler app

Collection of popular and reproducible image denoising works.

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

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.

Text Classification Algorithms: A Survey

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

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

: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.