Project details for Accord.NET Framework

Screenshot Accord.NET Framework 2.1.3

by cesarsouza - November 3, 2010, 14:35:27 CET [ Project Homepage BibTeX Download ]

view (10 today), download ( 3 today ), 2 subscriptions

Description:

Accord.NET Framework is a C# framework which extends the excellent AForge.NET Framework with new tools and libraries.

The framework is comprised by libraries and sample applications demonstrating their features. Some of the libraries include:

Accord.Math - General math and matrix library with numerical decompositions and related linear algebra methods; Accord.Statistics - library with statistical analysis and related tools; Accord.Imaging - extension to the AForge.NET Imaging library with new filters and routines; Accord.Neuro - extension to the AForge.NET Neuro library with new learning algorithms; Accord.MachineLearning - extension to AForge's machine learning library with SVMs and related techniques; Accord.Vision - extension to the AForge.NET Vision library with realtime object detectors and trackers; Accord.Audio - experimental library with filters and audio processing routines.

For a complete listing of framework features, please see the feature list at http://accord-net.origo.ethz.ch/wiki/features.

Changes to previous version:
  • Adding Non-Negative Matrix Factorization, Continuous density Hidden Markov Models and Gaussian Mixture Models;
  • Heavy work on documentation.
BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Windows
Data Formats: Agnostic
Tags: Svm, Kernel Methods, Algorithms, Classifiers, Statistics, Clustering Algorithm, Probability Estimation, Discriminant Analysis, Wavelet Transform, Principal Component Analysis, Algebra, Fourier Transfo
Archive: download here

Other available revisons

Version Changelog Date
2.14.0

Adding a large number of new distributions, such as Anderson-Daring, Shapiro-Wilk, Inverse Chi-Square, Lévy, Folded Normal, Shifted Log-Logistic, Kumaraswamy, Trapezoidal, U-quadratic and BetaPrime distributions, Birnbaum-Saunders, Generalized Normal, Gumbel, Power Lognormal, Power Normal, Triangular, Tukey Lambda, Logistic, Hyperbolic Secant, Degenerate and General Continuous distributions.

Other additions include new statistical hypothesis tests such as Anderson-Daring and Shapiro-Wilk; as well as support for all of LIBLINEAR's support vector machine algorithms; and format reading support for MATLAB/Octave matrices, LibSVM models, sparse LibSVM data files, and many others.

For a complete list of changes, please see the full release notes at the release details page at:

https://github.com/accord-net/framework/releases

December 9, 2014, 23:04:04
2.10.0

This release aimed to provide improvements to the documentation. Most of the Univariate Distributions now include proper examples for all main functions and measures in their summary page. Also, a wide set of imaging methods, such as Haralick's set of textural features, the Local Binary Pattern, Gabor, Kirsch, and Variance filters have been added. Also includes the Denavit-Hartenberg model for kinematic chains and many updates, optimizations, corrections and bug-fixes in all major namespaces.

For a complete list of changes, please see the full release notes at the release details page at:

https://github.com/accord-net/framework/releases

September 9, 2013, 16:12:01
2.8.0

This release brings Cox's proportional hazards models and the partial Newton-Raphson learning algorithm. It also provides a reorganization of the (Hidden Conditional Random) Fields namespace, together with more bugfixes, improvements and optimizations.

For a complete list of changes, please see the full release notes at the release details page.

November 6, 2012, 07:01:01
2.7.1

This release fixes few bugs, adds new clustering algorithms, and provides a compatibility package to work with .NET 3.5.

For a complete list of changes, please see the full release notes at https://code.google.com/p/accord/source/browse/trunk/Release%20notes.txt

September 13, 2012, 01:57:18
2.6.0

This release adds support for RProp learning in HCRFs, optimizations to SVM learning and evaluation, a constrained QP solver based on the dual method of Goldfrab and Idnani, robust estimation of fundamental matrices and several other bugfixes and enhancements.

For a complete list of changes, please see the full release notes at http://accord-net.origo.ethz.ch/download/3982

April 4, 2012, 16:36:42
2.1.5

The various works on this release have introduced some breaking interface changes, mainly in the Audio and Statistics namespaces.

  • Adding support for Independent Component Analysis;
  • Adding observation prediction in hidden Markov models;
  • Major reorganization of the hidden Markov models namespace;
  • Major architectural changes on the Accord.Audio namespace;
  • Adding a new algorithm for LDLt Cholesky matrix decomposition;
  • Adding Sparse versions of Gaussian, Polynomial, Laplacian, Sigmoid and Cauchy kernels.

And several other bugfixes and enhancements. For a complete list of changes, please see the full release notes at http://accord-net.origo.ethz.ch/download/2822

February 21, 2011, 14:49:49
2.1.4
  • Adding support for more Haar cascade classifier definitions;
  • Optimizing Levenberg-Marquardt learning algorithm;

And several other bugfixes and enhancements. For a complete list of changes, please see the full release notes at http://accord-net.origo.ethz.ch/download/2312

December 3, 2010, 22:17:04
2.1.3
  • Adding Non-Negative Matrix Factorization, Continuous density Hidden Markov Models and Gaussian Mixture Models;
  • Heavy work on documentation.
November 3, 2010, 14:35:27
2.1.2

Initial Announcement on mloss.org.

October 16, 2010, 15:33:39

Comments

No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.