RSS 11 projects tagged "machine learning"

Download Website Updated 17 Feb 2014 SHOGUN

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Pop 347.10
Vit 36.48

SHOGUN is a machine learning toolbox whose focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It provides a generic SVM object interfacing to several different SVM implementations, all making use of the same underlying, efficient kernel implementations. Apart from SVMs and regression, SHOGUN also features a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons, and algorithms to train hidden Markov models. SHOGUN can be used from within C++, Matlab, R, Octave, and Python.

Download Website Updated 07 Nov 2013 Thinknowlogy

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Pop 212.42
Vit 12.45

Thinknowlogy is grammar-based software, designed to utilize the Natural Laws of Intelligence in grammar, in order to create intelligence through natural language in software. This is demonstrated by programming in natural language, reasoning in natural language and drawing conclusions (more detailed than scientific solutions), making assumptions (with self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts in the knowledge. It builds semantics autonomously (with no vocabularies or words lists), detecting some cases of semantic ambiguity. It is multi-grammar, proving that Natural Laws of Intelligence are universal.

Download Website Updated 19 Jun 2013 Milk

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Pop 139.75
Vit 9.41

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.

Download Website Updated 07 Jan 2014 MLPACK

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Pop 98.80
Vit 2.62

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 04 Jul 2011 K-tree

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Pop 75.21
Vit 1.96

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 23 Nov 2013 RecDB

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Pop 69.57
Vit 1.44

RecDB is a recommendation engine built entirely inside PostgreSQL 9.2. It allows application developers to build recommendation applications using a wide variety of built-in recommendation algorithms such as user-user collaborative filtering, item-item collaborative filtering, and singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. It is easily used and configured and allows novice developers to define a variety of recommenders that fits their application's needs in few lines of SQL. It can seamlessly integrate recommendation functionality with traditional database operations.

Download No website Updated 05 Sep 2013 Libnabo

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Pop 39.32
Vit 2.82

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 No website Updated 13 Aug 2010 TexLexAn

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Pop 36.72
Vit 1.08

TexLexAn allows you to drag and drop a document or a link to any Web page to analyze. The program will analyze the text, evaluate its readability, categorize the document, summarize it, and archive it.

Download No website Updated 28 Jan 2010 Waffles

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Pop 27.82
Vit 39.31

Waffles is a cross-platform C++ library of algorithms for machine learning, artificial intelligence, data mining, etc. It also contains demo apps and command-line wrapper tools that are useful for visualizing, analyzing, and predictively modeling data.

Download Website Updated 02 Nov 2013 pyuds

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Pop 22.14
Vit 29.97

pyuds is a Python library for measuring uncertainty in the Dempster-Shafer theory of evidence. The functionals supported are the Generalized Hartley (GH) uncertainty functional, Generalized Shannon (GS) uncertainty functional, and Aggregate Uncertainty (AU) functional. The library can be utilized either through its API, or through a user-friendly Web interface.

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FLOM

A simple lock manager.

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PixelController

A LED matrix controller.