RSS 8 projects tagged "machine learning"

Download Website Updated 04 Jul 2011 K-tree

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Pop 74.93
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 Website Updated 07 Nov 2013 Thinknowlogy

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Pop 215.71
Vit 12.66

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 No website Updated 28 Jan 2010 Waffles

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Pop 27.13
Vit 39.25

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 19 Jun 2013 Milk

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Pop 139.67
Vit 9.47

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 79.25
Vit 8.04

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.

Download No website Updated 05 Sep 2013 Libnabo

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Pop 39.52
Vit 2.84

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 02 Nov 2013 pyuds

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Pop 22.09
Vit 29.89

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.

No download Website Updated 13 Jul 2012 Treba

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Pop 16.94
Vit 25.39

Treba is a commandline tool for training, decoding, and calculating with weighted (probabilistic) finite state automata (WFSA/PFSA). Training algorithms include Baum-Welch (EM), Viterbi training, and Baum-Welch augmented with deterministic annealing. Treba is optimized for speed and numerical stability, and training algorithms can be run multi-threaded on hardware with multiple cores/CPUs. Forward, backward, and Viterbi decoding are supported. Automata for training/decoding are read from a text file, or can be generated randomly or with uniform transition probabilities with different topologies (ergodic or fully connected, Bakis or left-to-right, or deterministic). Observations used for training or decoding are read from text files compatible with AT&T finite state tools and OpenFST.

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evince

A document viewer for PostScript, PDF, TIFF, DjVu, and other formats.

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CASampledSP

A Java Sampled Audio Service Provider based on CoreAudio.