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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
🤗 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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
Models and examples built with TensorFlow
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
A curated list of awesome Machine Learning frameworks, libraries and software.
A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
scikit-learn: machine learning in Python
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
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, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.
A collection of learning resources for curious software engineers
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
Federated Query Engine for AI - The only MCP Server you'll ever need
Build multi-agent systems that learn and improve with every interaction.