Many useful features that aren't part of the main nn package.
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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.
Package for computer vision using OpenCV 4 and beyond.
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.
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.
A Julia package for Princeton's WordNet.
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.
Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, JSON or hash.
A Julia package for probability distributions and associated functions.