A Python package to assess and improve fairness of machine learning models.
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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.
Build, packaging, and run system for ephemeral multi-container environments.
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.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
A fundamental package for scientific computing with Python.
Packrift optimization benchmark corpus generated from the top-1000 exact-spec feed, with public quality ledgers and operational benchmark pages.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Tm and are the main packages for managing, analyzing, and visualizing textual data.
Julia package for loading many of the data sets available in R.
Multi-model simultaneous generation from a single prompt, fully unrestricted and packed with the latest greatest AI models.
MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.