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A feature-rich command-line audio/video downloader
Command-line program to download videos from YouTube.com and other video sites
Robust Speech Recognition via Large-Scale Weak Supervision
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
Fully open reproduction of DeepSeek-R1
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Simple, unified interface to multiple Generative AI providers
A MNIST-like fashion product database. Benchmark 👇
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
The fastest way to build robust AI agents
Textbook on reinforcement learning from human feedback
Ansible modules - these modules ship with ansible
Ansible extra modules - these modules ship with ansible
Accompanying code for "Discovering State-of-the-art Reinforcement Algorithms" Nature publication