SuperLearner by ecpolley
Current version of the SuperLearner R package
created at April 16, 2011, 5:18 a.m.
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.
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.
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.
big_data_for_chimps by infochimps-labs
A Seriously Fun guide to Big Data Analytics in Practice
created at March 17, 2012, 1:30 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.
awesome-CoreML-models by SwiftBrain
Collection of models for Core ML
created at June 8, 2017, 5:36 a.m.
TResNet by Alibaba-MIIL
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
created at March 27, 2020, 5:53 p.m.