21 projects tagged "machine learning"

Download Website Updated 06 Nov 2012 Accord.NET Framework

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Pop 75.79
Vit 3.40

Accord.NET provides statistical analysis, machine learning, image processing, and computer vision methods for .NET applications. The Accord.NET Framework extends the popular AForge.NET with new features, adding to a more complete environment for scientific computing in .NET.

Download Website Updated 04 May 2014 Armadillo C++ Library

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Pop 645.69
Vit 82.41

Armadillo is a C++ linear algebra library (matrix maths) aiming towards a good balance between speed and ease of use. The API is deliberately similar to Matlab's. Integer, floating point, and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS numerics libraries. A delayed evaluation approach, based on template meta-programming, is used (during compile time) to combine several operations into one and reduce or eliminate the need for temporaries.

No download Website Updated 15 Oct 2012 Fuzzy machine learning framework

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Pop 53.78
Vit 2.57

Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use.

Download Website Updated 04 Jul 2011 K-tree

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Pop 72.75
Vit 1.94

K-tree provides a scalable approach to clustering by combining the B+-tree and k-means algorithms. Clustering can be used to solve problems in signal processing, machine learning, and other contexts. It has recently been used to solve document clustering problems on the Wikipedia collection.

Download No website Updated 05 Sep 2013 Libnabo

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Pop 40.91
Vit 2.67

libnabo is a fast K Nearest Neighbor library for low-dimensional spaces. It provides a clean, legacy-free, scalar-type–agnostic API thanks to C++ templates.

Download Website Updated 07 Jan 2014 MLPACK

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Pop 92.17
Vit 2.42

MLPACK is a 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 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 and least-angle regression.

Download Website Updated 22 Aug 2011 Mee5

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Pop 24.00
Vit 1.01

Mee5 is a set of runtime bindings for the See5 decision tree. It provides a shared library (or DLL) and C, C++, and Python bindings, and adds the possibility to have many clearly separated instances of an application's trees.

Download Website Updated 19 Jun 2013 Milk

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Pop 129.29
Vit 9.01

Milk is a machine learning toolkit in Python. Its focus is on supervised classification with several classifiers available: SVMs (based on libsvm), k-NN, random forests, and decision trees. It also performs feature selection. These classifiers can be combined in many ways to form different classification systems. For unsupervised learning, milk supports k-means clustering and affinity propagation.

No download Website Updated 30 Dec 2012 MyMediaLite

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Pop 80.25
Vit 7.83

MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms. It addresses the two most common scenarios in collaborative filtering: rating prediction (e.g. on a scale of 1 to 5 stars), and item prediction from implicit feedback (e.g. from clicks or purchase actions). It contains dozens of recommender engines, including state-of-the-art matrix factorization methods. It also supports real-time updates to the recommender engines, storing engines to disk and reloading them again, and several evaluation measures to compare the accuracy of different recommender system methods. Three command-line programs that offer most of the functionality contained in the library are included.

No download Website Updated 11 May 2014 OpenCog

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Pop 26.04
Vit 4.19

OpenCog is an Open Source software project aimed at directly confronting the AGI challenge, based on mathematics and using biologically inspired algorithms, including algorithms for common-sense reasoning and machine learning. Components include natural language processing and speech generation, robotics, game control, and vision.

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Mandos

A system to allow unattended reboots with an encrypted root file system.

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MyRPC

An RPC framework for distributed computing.