📚 Community guides for open source creators
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📚 Community guides for open source creators
A Q&A platform software for teams at any scales. Whether it's a community forum, help center, or knowledge management platform, you can always count on Apache Answer.
A desktop app for inspecting your React JS and React Native projects. macOS, Linux, and Windows.
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
🖼️ Image Toolbox is a powerful app for advanced image manipulation. It offers dozens of features, from basic tools like crop and draw to filters, OCR, and a wide range of image processing options
kaldi-asr/kaldi is the official location of the Kaldi project.
Most popular Mocking framework for unit tests written in Java
Face recognition with deep neural networks.
Open source alternative to Auth0 / Firebase Auth / AWS Cognito
A community Bash framework.
Empower the Web community and invite more to build across platforms.
A handy collection of more than 500 native Swift extensions to boost your productivity.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Node.js based forum software built for the modern web
A cross-platform programmable network tool
This repo is the official home of .NET on GitHub. It's a great starting point to find many .NET OSS projects from Microsoft and the community, including many that are part of the .NET Foundation.
An extensive math library for JavaScript and Node.js
The largest Open-Source UI Library! Community-made and free to use. Made with either CSS or Tailwind.
The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Tool for shell commands execution, visualization and alerting. Configured with a simple YAML file.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
🐀 A decentralised discussion platform for communities.