🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Python tool for converting files and office documents to Markdown.

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

A topic-centric list of HQ open datasets.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

Fish-like autosuggestions for zsh

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Roadmap to becoming an Artificial Intelligence Expert in 2022

An open-source RAG-based tool for chatting with your documents.

TradingAgents: Multi-Agents LLM Financial Trading Framework

Fish shell like syntax highlighting for Zsh.

Python Backtesting library for trading strategies

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Open source annotation tool for machine learning practitioners.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

Python toolkit for quantitative finance

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

Keras implementations of Generative Adversarial Networks.

CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and …

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

Model parallel transformers in JAX and Haiku

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Structured data extraction and instruction calling with ML, LLM and Vision LLM

Notebooks using the Hugging Face libraries 🤗

Open-source, vision-first browser agent

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资