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🤗 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
🏡 Open source home automation that puts local control and privacy first.
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Rich is a Python library for rich text and beautiful formatting in the terminal.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
A community-maintained Python framework for creating mathematical animations.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
DSPy: The framework for programming—not prompting—language models
The fundamental package for scientific computing with Python.
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
⚡ A Fast, Extensible Progress Bar for Python and CLI
Python sample codes and textbook for robotics algorithms.
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Deezer source separation library including pretrained models.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Graph Neural Network Library for PyTorch
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Magenta: Music and Art Generation with Machine Intelligence
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.