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Apache UIMA

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Claimed by Apache Software Foundation Analyzed almost 2 years ago

Apache UIMA is an Apache-licensed open source implementation of the UIMA specification (that specification is, in turn, being developed concurrently by a technical committee within OASIS, a standards organization). We invite and encourage you to participate in both the implementation and ... [More] specification efforts. UIMA is a component framework for analysing unstructured content such as text, audio and video. It comprises an SDK and tooling for composing and running analytic components written in Java and C++, with some support for Perl, Python and TCL. [Less]

1.05M lines of code

9 current contributors

about 2 years since last commit

20 users on Open Hub

Activity Not Available
5.0
 
I Use This

OpenCog Framework

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  Analyzed 4 days 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] or adapted for OpenCog may be combined and used in concert with one another for experimentation or to achieve better results compared to their stand-alone counterparts. OpenCog is under active development, but doesn't yet have a official release. It is currently best suited for machine learning developers, but have an interest in making more accessible to new comers. [Less]

154K lines of code

22 current contributors

4 days since last commit

9 users on Open Hub

Very High Activity
5.0
 
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PyMVPA

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  Analyzed 6 days 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] Regressions, Sparse Multinomial Logistic Regression, GPR. RFE, I-RELIEF), and bindings to external ML libraries (libsvm, shogun, R). While it is not limited to neuroimaging data (e.g. FMRI) it is eminently suited for such datasets. [Less]

139K lines of code

0 current contributors

about 2 years since last commit

8 users on Open Hub

Inactive
5.0
 
I Use This

OTB Applications (deprecated)

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  Analyzed almost 2 years ago

OTB Applications are now included in the ORFEO ToolBox repository (see https://www.openhub.net/p/otb) This package includes a set of applications for remote sensing image processing such as orthorectification, classification, object extraction... Few of these applications come with a full GUI ... [More] interface. Applications are based on the Orfeo Toolbox (OTB) library. More complex applications are now developed in the integrated application: Monteverdi. OTB Applications is distributed under a free software licence CeCILL (similar to GPL) to encourage contribution from users and to promote reproducible research. [Less]

40.7K lines of code

0 current contributors

over 4 years since last commit

2 users on Open Hub

Activity Not Available
5.0
 
I Use This
Licenses: No declared licenses

MARF:Modular Audio Recognition Framework

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  Analyzed about 2 hours ago

MARF is an open-source research platform and a collection of voice/sound/speech/text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible framework facilitating addition of new algorithms. MARF can run distributedly over the network and may act ... [More] as a library in applications or be used as a source for learning and extension. [Less]

79.8K lines of code

0 current contributors

over 2 years since last commit

2 users on Open Hub

Inactive
5.0
 
I Use This

Java Data Mining Package (JDMP)

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  Analyzed about 8 hours ago

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. clustering, regression, classification, graphical models, optimization) and provides visualization modules. It ... [More] includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave). [Less]

40.7K lines of code

0 current contributors

almost 3 years since last commit

2 users on Open Hub

Inactive
0.0
 
I Use This

SimMetrics

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  Analyzed about 8 hours ago

SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.

5.76K lines of code

0 current contributors

over 11 years since last commit

2 users on Open Hub

Inactive
5.0
 
I Use This
Licenses: No declared licenses

april-ann

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  Analyzed about 7 hours ago

April-ANN toolkit (A Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional neural networks), with other pattern recognition methods as hiddem makov models (HMMs) among others.

161K lines of code

0 current contributors

almost 2 years since last commit

1 users on Open Hub

Very Low Activity
5.0
 
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MLPACK C++ machine learning library

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  Analyzed about 15 hours ago

MLPACK is a fast C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum ... [More] flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression, least-angle regression, etc. [Less]

187K lines of code

63 current contributors

about 21 hours since last commit

1 users on Open Hub

Very High Activity
0.0
 
I Use This
Licenses: No declared licenses

pattern recognition lab 3

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  Analyzed about 11 hours ago

925 lines of code

0 current contributors

about 9 years since last commit

0 users on Open Hub

Inactive
0.0
 
I Use This
Licenses: No declared licenses