🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Deep Learning for humans

scikit-learn: machine learning in Python

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

The uncompromising Python code formatter

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

⚡ A Fast, Extensible Progress Bar for Python and CLI

The fundamental package for scientific computing with Python.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Automated nginx proxy for Docker containers using docker-gen

Download market data from Yahoo! Finance's API

The interactive graphing library for Python ✨

Network Analysis in Python

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

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

SciPy library main repository

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

Ongoing research training transformer models at scale

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

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

AutoML library for deep learning

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

A unified framework for machine learning with time series