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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.

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.

Feature engineering package with SKlearn like functionality.

Julia package for Gaussian processes.

Package for computer vision using OpenCV 4 and beyond.

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.

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.

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.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.

A full port of Stanford NLP packages to.NET and also available precompiled as a NuGet package.

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools.

Text preprocessing package for use in NLP tasks.