Software Listing: Machine Learning

GMDH Shell is an advanced but easy to use tool for predictive modeling and data mining. The software combines well proven machine learning technology and extended capabilities for effective use of multi-core, multiprocessor and clustered computers. GMDH Shell makes processing of data much easier in many aspects. It is able to automatically detect usable data inside a file, transform data according to a problem type, drop irrelevant inputs and, finally, construct a set of predictive models at the base of optimal complexity detection and self-organization principals. Notable capabilities of the software environment: Time series forecasting, classification and continuous value prediction.

  • Platform: Win2000, Win7 x32, Win7 x64, Windows Server, WinOther, WinVista, WinVista x64

MLboost: Machine Learning boost library in Python. MLboost main goal is to speedup any Machine Learning projects by simplifying data preprocessing, features selection and data visualisation. Design by Machine Learning practitioners to let them do ML...;).

  • Platform: Linux, WinOther

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ....

  • Platform: Linux, Mac OS X, WinOther

Platform supporting machine learning on different objects by different modification of the JSM method (for now). Predicates for the JSM method are written in CLIPS.Objects and modification of the JSM method have to written on one of .NET languages..

  • Platform: WinOther

This project provides a framework for testing and comparing different machine learning algorithms (particularly reinforcement learning methods) in different scenarios. Its intended area of application is in research and education..

  • Platform: Linux, Mac OS X, WinOther

MCMLL is a C++ template library (header files only! : ) ) for machine learning with an emphasis on Monte-Carlo methods. It includes a large number of different (multi-threaded) Evolutionary Algorithms, Particle Filtering framework....

  • Platform: Linux, Unix

Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code..

  • Platform: WinOther

Zabal6 is a machine learning student tool based on decision tree learning, focused in the area of knowledge discovery (data mining), and inspired on See5. Zabl6 is a C++ program for Linux and windows O.S, with a intuitive graphical interface..

  • Platform: Linux, WinOther

A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.
Wolfgang's Machine Learning Benchmarks License - Public Domain.

  • Publisher: Mlbench
  • Date:
  • Size: 1095 KB
  • Platform: WinOther

Mind - Machine Learning is an high scalable and distributed Artificial Neural Network (ANN) which support several architectures and algorithms.
Mind - Machine Learning License - GNU General Public License (GPL).

  • Platform: WinOther

MMLL (recursive acronym for MMLL: Machine Learning Library) is an Open Source C++ Library released under GPL license. MMLL aka [MA?LA?]
MMLL: Machine Learning Library License - GNU General Public License (GPL).

  • Publisher: Mmll
  • Date:
  • Platform: WinOther

Open Machine Learning will be a collection of data structures and algorithms written in C++ that enables machine learning research.
Open Machine Learning License - Public Domain.

  • Platform: WinOther

The main goal of this project is to develop new algorithms of machine learning and collect examples of existing methods. This collection pursues scientific and educational purposes.
Algorithms of Machine Learning License - GNU General Public License version 2.0 (GPLv2).

  • Platform: WinOther

Scikit Learn is designed as an easy-to-use, handy and accessible Machine Learning framework written in Python.

This tool aims to implement classic machine learning algorithms while remaining simple and efficient.


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  • Platform: WinOther

Classifier is a machine learning tool that will take data items and place them into one of k classes. A probabilistic classifier, like this one, can also give a probability distribution over the class assignment for a data item.

This software is a Java implementation of a maximum entropy classifier. Maximum entropy models are otherwise known as conditional loglinear models, and are essentially equivalent to multiclass logistic regression models (though parameterized slightly differently, in a way that is advantageous with sparse explanatory feature vectors).

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  • Platform: WinOther

RF-ACE is an efficient implementation of a robust machine learning algorithm for uncovering multivariate associations, building predictors, and predicting novel data, either with classification or regression tree ensembles, from large and diverse data sets.

RF-ACE natively handles numerical and categorical data with missing values, and in feature selection potentially large quantities of noninformative features are handled gracefully utilizing artificial contrast features, bootstrapping, and p-value estimation.

The application implements both Gradient Boosting Tree (GBT) and Random Forest (RF) algorithms.

  • Platform: WinOther

The file demonstrates interfacing Java with Matlab by using weka (Machine learning software, written in JAVA) as an example..

  • Platform: Matlab, Scripts

NPatternRecognizer is a fast machine learning algorithm library written in C#. It contains support vector machine, neural networks, bayes, boost, k-nearest neighbor, decision tree, ..., etc..

  • Platform: WinOther

The Numerical Learning Library intends to provide a wide range of machine learning algorithms. It is a generic and efficient C++ library with its full integrated framework (preprocessing, feature extraction and transformation, validation)..

  • Platform: WinOther

machine learning and ai decision ...
Machine Decision License - GNU Library or Lesser General Public License (LGPL).

  • Platform: WinOther

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