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updated 17 days ago

multiWaitbar( label, varargin ) by 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 5 months ago

Deep Learning Toolbox by 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 1 year ago

Super Mario Bros. Demo by Mingjing Zhang

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

Super Mario Bros. Demo

stl_mario_main()

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updated 1 year 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)

EM_GMM_3d(c,wk,N,movie,Y,D,Cv)

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updated almost 2 years ago

CNN - Convolutional neural network class by Mihail Sirotenko

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

back_conv2(FM,e,K,type)

back_subsample(e, ratio)

cnet_tool(varargin)

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updated 2 years ago

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

CalculateFeaturesImportance.m

CalculateOutcomeGroups (y)

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updated 2 years ago

Performance Measures for Classification by Barnan Das

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

Evaluate(ACTUAL,PREDICTED)

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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)

GM_EM(X,k,bn_noise,reps,max_iters,tol)

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updated 2 years ago

EM algorithm for Gaussian mixture model by 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 3 years ago

SVM Demo by Richard Stapenhurst

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

LinearClassifier

svm_demo

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updated 5 years ago

Toolbox Graph by Gabriel Peyre

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

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

Isomap(D,ndims,options);

adjacency2incidence(A)

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updated 5 years ago

Gaussian Mixture Modeling GUI (GMM DEMO) by Dimitrios Ververidis

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

...

CrossLineMixtGaussians(HoldPlot, MixtWeights,...

DEMO_GMM(varargin)

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updated 6 years ago

Matlab Weka Interface by Matt Dunham

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

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

loadARFF(filename)

matlab2weka(name, featureNames, data,targetIndex)

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updated 6 years ago

Gaussian Mixture Model by Vikram T N

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

Cluster_Covariance(Data)

Cluster_Covariance(Data)

Cluster_Probability(Data,Mu)

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updated 8 years ago

Statistical Learning Toolbox by 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 9 years ago

Clustering Toolbox by Janos Abonyi

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

FCMclust(data,param)

FuzSam(proj,result,param)

GGclust(data,param)

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updated almost 12 years ago

Netlab by Ian Nabney

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

[C,rate]=confmat(Y,T)

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

consist(model, type, inputs, outputs)

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