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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Models and examples built with TensorFlow
🏡 Open source home automation that puts local control and privacy first.
Rich is a Python library for rich text and beautiful formatting in the terminal.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
💫 Industrial-strength Natural Language Processing (NLP) in Python
⚡ A Fast, Extensible Progress Bar for Python and CLI
The fundamental package for scientific computing with Python.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Documentation that simply works
Data Apps & Dashboards for Python. No JavaScript Required.
Open source platform for the machine learning lifecycle
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Python composable command line interface toolkit
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
End-to-End Object Detection with Transformers
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing