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Feature engineering package with SKlearn like functionality.

Julia package for Gaussian processes.

Package for computer vision using OpenCV 4 and beyond.

Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.

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 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.

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.

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.

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

Text preprocessing package for use in NLP tasks.

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

A Julia package for Princeton's WordNet.

The go-to, no-nonsense, fast and lean job site in AI, ML, Data Science and Big Data.

Key differences of a data scientist vs. data engineer applies AI to data analysis, extraction, visualization, or business intelligence.