Machine Learning
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Data Mining v.2
Learn data mining with easy-to-use examples. Teach computer to add, subtract, Boolean operations, Fishers Iris task and even chess moves with convenient application NeoNeuro Data Mining. You will be amazed how Data Mining learns chess step by step!
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Conrad CRF Engine & Gene Caller v.rc
Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
Insilicos Cloud Army v.2.0.0
Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research.
Java Data Mining Package v.0.1.1
The Java Data Mining Package (JDMP) is a library that provides methods for analyzing data with the help of machine learning algorithms (e.
KeplerWeka v.2.0.20101008
KeplerWeka adds the functionality of the open-source machine learning and data mining workbench WEKA to the free and open-source, scientific workflow application, Kepler.
LPCforSOS v.0.1
LPCforSOS is a machine learning framework with a special focus on structured output spaces and pairwise learning.
PepArML v.32
PepArML: An unsupervised, model-free, combining peptide identification arbiter for tandem mass spectra via machine learning.
RDKit v.2012.03.1
A collection of cheminformatics and machine-learning software written in C++ and Python.
Teachingbox v.0.7.1
The Teachingbox uses advanced machine learning techniques to relieve the robot developer from extensive (and expensive) programming of sophisticated robot behaviors.
Trainable Relation Extraction framework v.0.3
T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.