🤗 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.

scikit-learn: machine learning in Python

Deep Learning for humans

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Rich is a Python library for rich text and beautiful formatting in the terminal.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The uncompromising Python code formatter

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

The fundamental package for scientific computing with Python.

⚡ A Fast, Extensible Progress Bar for Python and CLI

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Download market data from Yahoo! Finance's API

Automated nginx proxy for Docker containers using docker-gen

The interactive graphing library for Python ✨

Network Analysis in Python

A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

Ongoing research training transformer models at scale

Create web-based user interfaces with Python. The nice way.

A framework for managing and maintaining multi-language pre-commit hooks.

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

SciPy library main repository

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Python bindings for FFmpeg - with complex filtering support

NumPy aware dynamic Python compiler using LLVM

A little word cloud generator in Python

Modin: Scale your Pandas workflows by changing a single line of code

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading