Popular GitHub Repositories for Feast Feature Store

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.

AI app store powered by 24/7 desktop history. open source | 100% local | dev friendly | 24/7 screen, mic recording

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

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.

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

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

The Open Source Feature Store for AI/ML

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

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

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

??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! ?

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

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.

.NET, Angular, Clean Architecture, Clean Code, SOLID Principles, KISS Principle, DRY Principle, Fail Fast Principle, Common Closure Principle, Common Reuse Principle, Acyclic Dependencies Principle, Mediator Pattern, Result Pattern, Folder-by-Feature Structure, Separation of Concerns

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

Represent, send, store and search multimodal data