Open-Source AI Projects on GitHub
Ανακάλυψε τα πιο δημοφιλή frameworks και βιβλιοθήκες τεχνητής νοημοσύνης.
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Le...
💁♀️Your new best friend powered by an artificial neural network
A flexible, high-performance 3D simulator for Embodied AI research.
golutra/golutra
RustMulti-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unifi...
embabel/embabel-agent
KotlinAgent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
OvidijusParsiunas/deep-chat
TypeScriptFully customizable AI chatbot component for your website
opensumi/core
TypeScriptA framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
Dataherald/dataherald
PythonInteract with your SQL database, Natural Language to SQL using LLMs
vijishmadhavan/ArtLine
Jupyter NotebookA Deep Learning based project for creating line art portraits.
tmoroney/auto-subs
TypeScriptOn-device subtitle generation that connects directly to DaVinci Resolve, Premiere, and After Effects.
aurelio-labs/semantic-router
PythonSuperfast AI decision making and intelligent processing of multi-modal data.
zhaoyingjun/chatbot
PythonChatbot继续沿着LLM前进,近期更新小参数量SLM的和训练脚本,支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
matt1398/claude-devtools
TypeScriptThe missing DevTools for Claude Code — inspect session logs, tool calls, token usage, subagents, and context window in a visual UI. Free, open source.
2026 年最新的免费编程资源大全,持续更新!🔥 覆盖各种语言和方向(Java / Python / C++ / JavaScript / TypeScript / Golang / 前端 / 后端 / AI大模型应用开...
Model Context Protocol(MCP) 编程极速入门
ben1234560/AiLearning-Theory-Applying
Jupyter Notebook快速上手AI理论及应用实战:基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集,力求每一位能看懂并复现。
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