Starred repositories
An agentic skills framework & software development methodology that works.
Open-source, community-driven agent harness
The agent that grows with you
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
⚡机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
中文翻译的 Hands-On-Large-Language-Models (hands-on-llms),动手学习大模型
TradingAgents: Multi-Agents LLM Financial Trading Framework
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-re…
freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free.
基于Dify自主创建的AI应用DSL工作流,你可以免费获取,无论是出于个人需求还是学习目的,它都能为您开启一段充满无限可能的智能之旅。
AingDesk是一款简单好用的AI助手,支持知识库、模型API、分享、联网搜索、智能体,它还在飞快成长中。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet search, and intelligent agents.…
Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Int…
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化,也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
Curated list of project-based tutorials
No fortress, purely open ground. OpenManus is Coming.
Open Data Platform for analysts, quants and AI agents.
🧠「大模型」2小时完全从0训练64M的小参数LLM!Train a 64M-parameter LLM from scratch in just 2h!