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.

The Python programming language

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

Inference code for Llama models

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

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

You like pytorch? You like micrograd? You love tinygrad! ❤️

Data Apps & Dashboards for Python. No JavaScript Required.

Graph Neural Network Library for PyTorch

Optional static typing for Python

An open source platform for Python in the browser. https://pyscript.net Docs: https://docs.pyscript.net/ Try it: https://pyscript.com/ Community: https://discord.gg/HxvBtukrg2

Machine learning, in numpy

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

A next generation HTTP client for Python. 🦋

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Convert Machine Learning Code Between Frameworks

A hyperparameter optimization framework

Python job scheduling for humans.

A PyTorch-based Speech Toolkit

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

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The Triton Inference Server provides an optimized cloud and edge inferencing solution.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

🚀 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