Popular GitHub Repositories for Feature Selection

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

The Open Source Feature Store for AI/ML

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

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

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

A curated list of automated machine learning papers, articles, tutorials, slides and projects

??AutoDev: The AI-powered coding wizard（AI 驱动编程助手）with multilingual support ?, auto code generation ??, and a helpful bug-slaying assistant ?! Customizable prompts ? and a magic Auto Dev/Testing/Document/Agent feature ? included! ?

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

??High-Performance Face Recognition Library on PaddlePaddle & PyTorch??

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

:book: [译] 面向机器学习的特征工程

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Book_6_《数据有道》 | 鸢尾花书：从加减乘除到机器学习；欢迎大家批评指正！纠错多的同学会得到赠书感谢！