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Machine learning package built for humans.

A simple, but essential Bayesian optimization package, written in Python.

Documentation for the caret package.

Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.

Open-source tool that lets you package ML models in a standard, production-ready container.

OS-agnostic, system-level binary package manager and ecosystem.

A Julia package providing a variety of loaders for various NLP corpora.

Julia package for Regularized Discriminant Analysis.

Open-source package for validating ML models & data, with various checks and suites.

A Julia package for probability distributions and associated functions.

Many useful features that aren't part of the main nn package.

Python package which helps to debug machine learning classifiers and explain their predictions.

A Python package to assess and improve fairness of machine learning models.

Feature engineering package with SKlearn like functionality.

Julia package for Gaussian processes.

Unified interface to ggplot2 popular R packages.

Package for computer vision using OpenCV 4 and beyond.

Package mat provides implementations of float64 and complex128 matrix structures and linear algebra operations on them.

A python package that integrates an LLM copilot inside the keras model development workflow.

A Python package for Korean natural language processing.

Julia package for working with various human languages.

A Julia package for manifold learning and nonlinear dimensionality reduction.

MatlabBGL is a Matlab package for working with graphs.

A Julia package for fitting (statistical) mixed-effects models.