somoclu by peterwittek
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
created at Jan. 16, 2013, 6:33 a.m.
pynlpl by proycon
PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).
created at July 6, 2010, 11:42 a.m.
Create a dashboard with python!skll by EducationalTestingService
SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
created at Aug. 2, 2013, 2:31 p.m.
SuperLearner by ecpolley
Current version of the SuperLearner R package
created at April 16, 2011, 5:18 a.m.
Sklearn-genetic-opt by rodrigo-arenas
ML hyperparameters tuning and features selection, using evolutionary algorithms.
created at Jan. 18, 2020, 7:16 p.m.
Dora by NathanEpstein
Tools for exploratory data analysis in Python
created at Feb. 16, 2016, 8:27 p.m.
oz by metasoarous
Data visualizations in Clojure and ClojureScript using Vega and Vega-lite
created at Feb. 12, 2018, 8:10 a.m.
smartcore by smartcorelib
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet still efficient approach to machine learning.
created at May 8, 2019, 5:14 a.m.
ScikitLearn.jl by cstjean
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
created at Feb. 28, 2016, 5:06 p.m.