awesome-CoreML-models by SwiftBrain
Collection of models for Core ML
created at June 8, 2017, 5:36 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.
eaopt by MaxHalford
Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
created at Jan. 31, 2016, 12:04 a.m.
kixi.stats by MastodonC
A library of statistical distribution sampling and transducing functions
created at Dec. 9, 2015, 10:31 a.m.
Recommender by GHamrouni
A C library for product recommendations/suggestions using collaborative filtering (CF)
created at Jan. 4, 2012, 10:40 a.m.
hopsworks by logicalclocks
Hopsworks - Data-Intensive AI platform with a Feature Store
created at July 26, 2018, 8:13 a.m.
comportex by htm-community
Hierarchical Temporal Memory in Clojure
created at March 29, 2014, 1:39 a.m.
Metaworld by Farama-Foundation
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
created at Sept. 9, 2019, 7 p.m.
scikit-learn-intelex by intel
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
created at Aug. 7, 2018, 6:45 a.m.