Machine learning with dataframes

Documentation sites for Python packages: start simple, go deep

Polars extension for general data science use cases

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar

A Python package for the statistical analysis of A/B tests

Override and customize Python packages without touching their code

JAX in JavaScript – ML library for the web, running on WebGPU & Wasm

An extremely fast Python type checker and language server, written in Rust.

RFC document, tooling and other content related to the array API standard

The most widely used Python to C compiler

💫 Industrial-strength Natural Language Processing (NLP) in Python

A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

D-Adaptation for SGD, Adam and AdaGrad

RFC document, tooling and other content related to the dataframe API standard

Extremely fast Query Engine for DataFrames, written in Rust

Model interpretability and understanding for PyTorch

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Script to help maintain a wheelhouse folder on a cloud storage.

Hummingbird compiles trained ML models into tensor computation for faster inference.

A repository in preparation for open-sourcing lottery ticket hypothesis code.

📝 python package to calculate readability statistics of a text object - paragraphs, sentences, articles.

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Discrete Hidden Markov Models with Numba

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…

A collection of various deep learning architectures, models, and tips