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updated 4 months ago

multiWaitbar( label, varargin ) by Ben Tordoff

Ben Tordoff

A new "shiny" progress-bar with multiple bars in a single window, time-estimates and more. (gui, progress bar, waitbar)

multiWaitbar( label, varargin )

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updated 9 months ago

Deep Learning Toolbox by Rasmus Berg Palm

Rasmus Berg Palm

Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets and more. With examples. (machine learning, deep learning, autoencoder)

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updated 1 year ago

Auto format m and c code files by Guo


do batch Ctrl+I by script (parsing, formating, editor)

format_code(parse_dir, ext)

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updated almost 2 years ago

Super Mario Bros. Demo by Mingjing Zhang

Mingjing Zhang

A playable demo of Super Mario Bros. World 1-1 with background music (game, gui, animation)

Super Mario Bros. Demo


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updated almost 2 years ago

3D visualization of GMM learning via the EM algorithm by Johannes


The evolution of a GMM in the EM algorithm is visualized by interpolating between iterations. (expectation maximizat..., gaussian mixture mode..., em)


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updated 2 years ago

CNN - Convolutional neural network class by Mihail Sirotenko

Mihail Sirotenko

  • 1 file
  • 4.92308

This project provides matlab class for implementation of convolutional neural networks. (neural network, ocr, classification)


back_subsample(e, ratio)


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updated 2 years ago

Decision Trees and Predictive Models with cross-validation and ROC analysis plot by Andrea Padoan

Andrea Padoan

This code implements a classification tree and plots the ROC curves for each target class (data mining, statistics, decision tree)

BestTree (t, X, y, nsamples)


CalculateOutcomeGroups (y)

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updated 2 years ago

Performance Measures for Classification by Barnan Das

Barnan Das

This function evaluates the common performance measures for classification models. (performance measures, classification, machine learning)


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updated 2 years ago

EM algorithm for Gaussian mixture model with background noise by Andrew


Standard EM algorithm to fit a GMM with the (optional) consideration of background noise. (gmm, em, clustering)


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updated almost 3 years ago

EM algorithm for Gaussian mixture model by Mo Chen

Mo Chen

EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. (em, gmm, mle)

emgm(X, init)

logsumexp(x, dim)

spread(X, label)

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updated almost 4 years ago

SVM Demo by Richard Stapenhurst

Richard Stapenhurst

An interactive demo of how an SVM works, with comparison to a perceptron (demo, optimization, optimisation)



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updated 5 years ago

Toolbox Graph by Gabriel Peyre

Gabriel Peyre

A toolbox to perform computations on graph. (graph theory, laplacian, combinatorial)

Toolbox graph - A toolbox to process graph and triangulat...



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updated 5 years ago

Gaussian Mixture Modeling GUI (GMM DEMO) by Dimitrios Ververidis

Dimitrios Ververidis

GUI for an Expectation-Maximization algorithm (EM) variant (Split-EM-Discriminant) (demo, gui, image processing)


CrossLineMixtGaussians(HoldPlot, MixtWeights,...


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updated 6 years ago

Matlab Weka Interface by Matt Dunham

Matt Dunham

Matlab interface for Weka Classifiers (statistics, probability, weka)

[mdata,featureNames,targetNDX,stringVals,relationName] =...


matlab2weka(name, featureNames, data,targetIndex)

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updated almost 7 years ago

Gaussian Mixture Model by Vikram T N

Vikram T N

This simulates the Gaussian Mixture Model (dsp, gmm, gaussian mixtures)




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updated 8 years ago

Statistical Learning Toolbox by Dahua Lin

Dahua Lin

Functions for statistical learning, pattern recognition and computer vision, covering many topics. (statistical learning, pattern recognition, classification)

annsearch(X0, X, k, varargin)

edl_batchexp(expfun, scrpath, env, logger, filter, runopt)

edl_buildiidxdict(S, idxfn)

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updated almost 10 years ago

Clustering Toolbox by Janos Abonyi

Janos Abonyi

The toolbox provides four categories of functions. (statistics, probability, clustering)




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updated 12 years ago

Netlab by Ian Nabney

Ian Nabney

  • 1 file
  • 3.06667

Pattern analysis toolbox. (fuzzy logic, neural networks, pattern analysis)


conjgrad(f, x, options, gradf, ...

consist(model, type, inputs, outputs)

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