Projects tagged ‘machine_learning’

DL-Learner

Analyzed 1 day ago

DL-Learner is a tool for learning concepts in Description Logics (DLs) from user-provided examples. Equivalently, it can be used to learn classes in OWL ontologies from selected objects.

1.92M lines of code

4 current contributors

about 3 years since last commit

2 users on Open Hub

Inactive

0 Reviews

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Mostly written in Java

Licenses: gpl3

MADlib® is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data.

119K lines of code

0 current contributors

about 1 year since last commit

2 users on Open Hub

Very Low Activity

0 Reviews

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Mostly written in Python

Licenses: apache_2

Tags analytics data_mining in-database machine_learning scalability scalable visualization

Multi-label Extension to Weka

Analyzed 1 day ago

Multi-label methods using the Weka and MOA machine learning frameworks

44.2K lines of code

2 current contributors

7 months since last commit

2 users on Open Hub

Very Low Activity

0 Reviews

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Mostly written in Java

Licenses: gpl3_or_l...

Tags classification machine_learning mulan multilabel multitarget weka

Crab - Scikit-Recommender

C

Analyzed 1 day ago

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (NumPy,SciPy, Matplotlib). The engine aims to provide a rich set of components from which you can construct a customized ... [More]

4.21K lines of code

0 current contributors

about 12 years since last commit

2 users on Open Hub

Inactive

0 Reviews

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Mostly written in Python

Licenses: BSD-3-Clause

Tags ai algorithms collaborative_filtering collectiveintelligence data_mining datamining distributed evaluation library machine_learning machinelearning plugable 8 more...

MyMediaLite

Analyzed about 22 hours ago

MyMediaLite is a recommender system algorithm library. It provides methods for two common tasks in recommender systems/collaborative filtering: rating prediction and item prediction from implicit feedback. MyMediaLite also contains command-line programs that let you use much of the library's functionality without having to program.

183K lines of code

2 current contributors

about 4 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in C#

Licenses: gpl3_or_l...

Tags artificial_intelligence cf collaborative_filtering command_line csharp data_analysis data_mining dotnet evaluation ironpython iron_ruby library 12 more...

twole-plan

T

No analysis available

Supporting actors involved in water resources management TwoLe Planning Engine is GNU GPLv3-covered free software for supporting Integrated Water Resources Management (IWRM). It provides advanced optimization (stochastic dynamic programming) and simulation engines suitable to allow Decision ... [More] Support Systems (DSS) to explore water management policies for multi-criteria water planning. The provided optimization and simulation algorithms enable the design and evaluation of water management policies even for multipurpose reservoir networks under different scenarios and goals. Such kind of mathematical support may be of great importance to allow the actors (stakeholders, decision makers, domain-experts) which are involved in the IWRM problem to move from the complexity of the IWRM modeling to the complexity of the decision problem, relying on automatic tools to explore different scenarios and goals while focusing on the effects of different water management policies. On the other hand, publicly available software for supporting IWRM decision-making can be viewed as a transparency prerequisite to provide involved actors the ability to understand the implications of the technical apparatus on decision-making and to mitigate unwanted technology-driven biases. The transparency requirements can be articulated in the very basic demand to be able to freely run the software and to study its complete and non-vague formulation (which needs the public availability of the source code) and in the possibility to correct and improve the software and release improvements to the public. Even if such possibility is usually exploitable only by competent researchers, its importance is vital to raise IWRM actors awareness about the intrinsic fallibility of technical apparatuses and to ensure them the maximum degree of dependability in relying on such software, which is achievable allowing and promoting the maximum degree of public verifiability. These requirements are satisfied only by free software, because the definition of free software is equivalent to them. This is an excerpt of the TwoLe Planning Engine presentation you can find at http://savannah.nongnu.org/projects/twole-plan Please refer to that URL to learn about other important aspects of TwoLe Planning Engine. Copyright (C) 2009, 2010 Daniele de Rigo [Less]

0 lines of code

0 current contributors

0 since last commit

1 users on Open Hub

Activity Not Available

0 Reviews

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Mostly written in language not available

Licenses: gpl3_or_l...

Tags automation c++ control dss environment integration machine_learning management math modss natural-resources numerical 5 more...

ai4r

Analyzed 1 day ago

AI4R is a collection of ruby algorithm implementations, covering several Artificial intelligence fields, and simple practical examples using them. A Ruby playground for AI researchers.

6.06K lines of code

0 current contributors

almost 6 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Ruby

Licenses: mozilla_p...

Tags artificial_intelligence backpropagation classifiers clustering genetic_algorithms id3 k_means kmeans machine_learning neural_network prism ruby

Java Machine Learning Library

J

Analyzed 1 day ago

The Java Machine Learning Library is a set of reference implementations of machine learning algorithms. These algorithms are well documented, both in the source code as on the documentation site. Besides real machine learning algorithms also a lot of supporting classes are provided: distance ... [More]

19.9K lines of code

0 current contributors

about 11 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Java

Licenses: gpl

Tags algorithms api classifiers data_mining java knowledge_discovery library machine_learning research science

Java Neural Network Framework Neuroph

J

Analyzed 1 day ago

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

117K lines of code

0 current contributors

almost 10 years since last commit

1 users on Open Hub

Inactive

1 Review

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Mostly written in Java

Licenses: lgpl3

Tags framework machine_learning simulations

MinorThird

M

Analyzed 1 day ago

MinorThird is an SDK/API for machine learning and information extraction, primarily on text data. A range of algorithms are included and is integrated tightly with the visualization tools for manual and automatic annotation of text.

61.1K lines of code

0 current contributors

about 13 years since last commit

1 users on Open Hub

Inactive

0 Reviews

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Mostly written in Java

Licenses: No declared licenses

Tags annotation data_mining information_extraction machine_learning minorthird

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