Machine Learning Algorithms
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Neural Networks v.4.3.7
Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples, the neural network can be used to predict outcomes ...
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Data Mining v.2
Learning of NeoNeuro Data Mining is similar to childs learning. The application makes the same human mistakes which can be seen in chess learning.
NeoNeuro Data Mining is recommended not only for the purpose of students teaching but also ...
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. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.
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. It supports currently multiclass, ordinal, hierarchical, multi-label and label ranking classification settings.
Mlpy v.3.5.0
mlpy is a Python module for Machine Learning built on top of NumPy/SciPy and of GSL.mlpy provides high-level functions and classes allowing, with few lines of code, the design of rich workflows for classification, regression, clustering and feature selection.
PepArML v.32
PepArML: An unsupervised, model-free, combining peptide identification arbiter for tandem mass spectra via machine learning.
PLASTK v.0.1
A Python class library of tools for learning agents, including reinforcement learning algorithms, function approximators, and vector quantizations algorithms. (Pronounced "plastic".) ...
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.
Divvy Data Analysis v.1.0
Divvy is an application for performing unsupervised machine learning and visualization. We focus on the clustering (separating data into groups) and dimensionality reduction (finding low dimensional structure in high dimensional data) subfields of machine ...
DeskConnect v.104.116.1815.0
Utilizing the latest in AI and machine learning, this tool automates and streamlines document processing, significantly reducing repetitive tasks and human error. It's designed to be adaptable across various applications, including legacy systems, and ...
Finatica v.1.0
Leverage statistical and machine learning algorithms to make forecasts for use directly or with our built-in portfolio optimizers, which use the Markowitz model to automatically optimize the return of a portfolio based on your risk tolerance level.Easily ...