:honeybee: A collection of awesome .NET core libraries, tools, frameworks and software
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- awesome-list
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- microsoft
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:honeybee: A collection of awesome .NET core libraries, tools, frameworks and software
Kodi is an award-winning free and open source home theater/media center software and entertainment hub for digital media. With its beautiful interface and powerful skinning engine, it's available for Android, BSD, Linux, macOS, iOS, tvOS and Windows.
💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)
build-once run-anywhere c library
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
Vitess is a database clustering system for horizontal scaling of MySQL.
Sends your logs to files, sockets, inboxes, databases and various web services
Parse Server for Node.js / Express
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Your window into all of your data
Create graphics with a hand-drawn, sketchy, appearance
Translated🆓 List of free ChatGPT mirror sites, continuously updated.
This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.
The open-source repo for docs.github.com
A terminal for the web
👻 Primitive and flexible state management for React
TranslatedRealtime Voice Changer
Get Android app updates straight from the source.
Minimalist ML framework for Rust
Your CLI home video recorder 📼
光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Console for mobile browsers
Translateddeeplearning.ai (course notes and resources for Teacher Andrew Ng's deep learning courses)