Starred repositories
OpenClaw-RL: Train any agent simply by talking
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
The official implementation of "ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning"
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
《动手学大模型Dive into LLMs》系列编程实践教程
An extremely fast Python package and project manager, written in Rust.
An elegant PyTorch deep reinforcement learning library.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Real-time dashboard for monitoring global news, markets, and geopolitical events
LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.
Retrieval and Retrieval-augmented LLMs
Netease Youdao's open-source embedding and reranker models for RAG products.
State of the Art Natural Language Processing
Supercharge Git inside VS Code and unlock untapped knowledge within each repository — Visualize code authorship at a glance via Git blame annotations and CodeLens, seamlessly navigate and explore G…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
qstock由“Python金融量化”公众号开发,试图打造成个人量化投研分析包,目前包括数据获取(data)、可视化(plot)、选股(stock)和量化回测(策略backtest)模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口; 选股模块提供了同花顺的选股数据和自定义选股,包括RPS、MM趋势、财务指标、资金流模型…
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
JavaScript to Python Translator & JavaScript interpreter written in 100% pure Python🚀 Try it online:
Production-ready platform for agentic workflow development.
Integrate the DeepSeek API into popular software
Production-tested AI infrastructure tools for efficient AGI development and community-driven innovation
DeepEP: an efficient expert-parallel communication library