Stars
A group of notebooks and other files which can help you learn AI from scratch.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Sutskever 30 implementations inspired by https://papercode.vercel.app/
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
Collection of Awesome GitHub Repositories
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
一款在线的 微信公众号文章批量下载 工具，支持导出阅读量与评论数据，无需搭建任何环境，可通过 在线网站(https://down.mptext.top) 使用，同时也支持 docker 私有化部署和 Cloudflare 部署。 支持下载各种文件格式，其中 HTML 格式可100%还原文章排版与样式。
FastAPI Best Practices and Conventions we used at our startup
Open-source Trading OS with pluggable AI brain | From market data → AI reasoning → Trade execution | Self-hosted & Multi-exchange
《Agentic Design Patterns》中文翻译版
OCR model that handles complex tables, forms, handwriting with full layout.
Source Code for 'Statistical Quantitative Methods in Finance' by Samit Ahlawat
Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.
Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
Introduction to Machine Learning Systems
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
🎯 告别信息过载，AI 助你看懂新闻资讯热点，简单的舆情监控分析 - 多平台热点聚合+基于 MCP 的AI分析工具。监控35个平台（抖音、知乎、B站、华尔街见闻、财联社等），智能筛选+自动推送+AI对话分析（用自然语言深度挖掘新闻：趋势追踪、情感分析、相似检索等13种工具）。支持企业微信/个人微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 推送，1分钟手机通知，无需…
PyTorch building blocks for the OLMo ecosystem
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
My learning notes for ML SYS.
Code for "Frequency-Aware Interactive Mamba for Time Series Classification"
✨✨Latest Advances on Multimodal Large Language Models
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
🌎 machine learning tutorials (mainly in Python3)