Hopsworks - Data-Intensive AI platform with a Feature Store
created at July 26, 2018, 8:13 a.m.
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.
A library of statistical distribution sampling and transducing functions
created at Dec. 9, 2015, 10:31 a.m.
Hierarchical Temporal Memory in Clojure
created at March 29, 2014, 1:39 a.m.
A C library for product recommendations/suggestions using collaborative filtering (CF)
created at Jan. 4, 2012, 10:40 a.m.
Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
created at Jan. 31, 2016, 12:04 a.m.
Collection of models for Core ML
created at June 8, 2017, 5:36 a.m.
Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.
created at March 19, 2014, 2:10 p.m.
Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)
created at April 15, 2014, 10:14 a.m.
Example code and materials that illustrate techniques for integrating SAS with popular open source analytics technologies like Python and R.
created at April 9, 2015, 8:36 p.m.
Open solution to the Home Credit Default Risk challenge
created at May 18, 2018, 9:36 p.m.
Python package for Bayesian Machine Learning with scikit-learn API
created at July 30, 2015, 3:15 a.m.