Projects tagged ‘machine_learning’

OpenCog Framework

Analyzed 1 day ago

The Open Cognition Framework (OpenCog) is software for the collaborative development of safe and beneficial Artificial General Intelligence. OpenCog provides research scientists and software developers with a common platform to build and share artificial intelligence programs. Programs written ... [More]

57.9K lines of code

16 current contributors

about 1 year since last commit

9 users on Open Hub

Very Low Activity

0 Reviews

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Mostly written in Scheme

Licenses: AGPL3

Tags agi ai cognitive genetic_programming graph_database language_generation language_learning learning machine_learning natural_language neural_network pattern_recognition 8 more...

MOA - Massive Online Analysis

Analyzed about 12 hours ago

A framework for learning from a continuous supply of examples, a data stream. Includes classification and clustering methods. Related to the WEKA project, also written in Java, while scaling to more demanding problems.

132K lines of code

13 current contributors

4 days since last commit

9 users on Open Hub

Very Low Activity

0 Reviews

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Mostly written in Java

Licenses: gpl3_or_l...

Tags datastreams java machine_learning onlinelearning swing weka

PyMVPA

Analyzed 1 day ago

Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge ... [More]

113K lines of code

0 current contributors

about 8 years since last commit

8 users on Open Hub

Inactive

0 Reviews

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Mostly written in Python

Licenses: mit

Tags analysis classifiers data_mining development education framework library machine_learning neuroscience pattern_recognition python research 1 more...

KNIME

Analyzed about 2 hours ago

KNIME [naim] is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualisation and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME ... [More]

923K lines of code

31 current contributors

23 days since last commit

7 users on Open Hub

High Activity

2 Reviews

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Mostly written in Java

Licenses: gpl3

Tags business_intelligence data_mining data_science data_visualization interactive java machine_learning predictive_analytics workbench

Orange

Analyzed about 10 hours ago

Orange is a component-based data mining software. It includes a range of data visualization, exploration, preprocessing and modelling techniques. It can be used through a nice and intuitive user interface or, for more advanced users, as a module for Python programming language.

376K lines of code

32 current contributors

8 days since last commit

6 users on Open Hub

High Activity

1 Review

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Mostly written in Python

Licenses: BSD-2-Clause

Tags analytics business_intelligence data_mining data_science data_visualization extensible interactive linux machine_learning predictive_analytics python statistics 3 more...

Mastrave

No analysis available

Mastrave is a free software library written to perform vectorized scientific computing and to be as compatible as possible with both GNU Octave and Matlab computing frameworks, offering general purpose, portable and freely available features for the scientific community. Mastrave is mostly oriented ... [More] to ease complex modelling tasks such as those typically needed within environmental models, even when involving irregular and heterogeneous data series. . Semantic array programming The Mastrave project attempts to allow a more effective, quick interoperability between GNU Octave and Matlab users by using a reasonably well documented wrap around the main incompatibilities between those computing environments and by promoting a reasonably general idiom based on their common, stable syntagms. It also promotes the systematic adoption of data-transformation abstractions and lightweight semantic constraints to enable concise and reliable implementations of models following the paradigm of semantic array programming. There are a couple of underlying ideas: library design is language design and vice versa (Bell labs); language notation is definitely a "tool of thought" (Iverson), in the sense that there is a feedback between programming/mathematical notation and the ability to think new scientific insights. And perhaps ethic ones. . Science and society Mastrave is free software, which is software respecting your freedom. As many other free scientific software packages, it is offered to the scientific community to also promote the development of a free society more concerned about cooperation rather than competitiveness, heading toward knowledge and culture freedom. Such a vision implies the possibility for motivated individuals to freely access, review and contribute even to the cutting-edge academic culture. This possibility relies on the development of tools and methodologies helping to overcome economic, organizational and institutional barriers (i.e. knowledge oligopolies) while systematically promoting reproducible research. This is a long-term goal to which the free software paradigm can and has been able to actively cooperate. Copyright (C) 2005, 2006, 2007, 2008, 2009, 2010, 2011 Daniele de Rigo Verbatim copying and distribution of this entire article is permitted in any medium without royalty provided this notice is preserved. [Less]

0 lines of code

1 current contributors

0 since last commit

5 users on Open Hub

Activity Not Available

0 Reviews

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Mostly written in language not available

Licenses: gpl3_or_l...

Tags array array_oriented_programming coding data engineering library machine_learning mathematics matlab modeling numerical octave 8 more...

deeplearning4j

D

Analyzed about 20 hours ago

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments. Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers. Vast ... [More]

1.1M lines of code

17 current contributors

4 months since last commit

5 users on Open Hub

Very Low Activity

0 Reviews

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