Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Stable Diffusion web UI
🤗 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.
Command-line program to download videos from YouTube.com and other video sites
A feature-rich command-line audio/video downloader
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
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.
A high-throughput and memory-efficient inference and serving engine for LLMs
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Clone a voice in 5 seconds to generate arbitrary speech in real-time
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Get your documents ready for gen AI
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
PyTorch Tutorial for Deep Learning Researchers
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
State-of-the-art 2D and 3D Face Analysis Project
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.