Pretrained AlexNet network model for image classification

Pretrained Resnet-50 network model for image classification

Pretrained GoogLeNet network model for image classification

Violin Plot based on kernel density estimation, using default ksdensity

Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA)

Polynomial modeling in 1 or n dimensions

Pretrained VGG-16 network model for image classification

Fast computation of intersections and self-intersections of curves using vectorization.

Shapiro-Wilk & Shapiro-Francia parametric hypothesis test of composite normality.

Compute descriptive and inferential statistics for circular or directional data.

Computes intersection points of two curves.

Transfer Learning of Pre-trained Neural Network or Imported ONNX Classification Model in GUI

Neural Network Toolbox Model for ResNet-18 Network

With Trelea, Common, and Clerc types along with ...

Time Series Prediction by use of Deep learning and shallow learning algorithms

An algorithm for manifold learning and dimension reduction.

Import and export TensorFlow models within MATLAB

Import and export ONNX™ models within MATLAB for interoperability with other deep learning frameworks

Pattern Recognition and Machine Learning Toolbox

Flexible Statistics Data Analysis Toolbox

Pretrained VGG-19 network model for image classification

NURBS Toolbox by D.M. Spink re-uploaded. The previous link has broken.

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.

Quickly create publication-quality plots: automatic colors & subplots, stats, violin/box plots, etc.

Model 2-d surfaces from scattered data

Pretrained MobileNet-v2 model for image classification

It provides deep learning tools of deep belief networks (DBNs).

MATLAB implementation of ACO for Discrete and Combinatorial Optimization Problems

MatConvNet: CNNs for MATLAB

A simple file reader for European Data Formatted (EDF-) files.

Plots a Bland-Altman and correlation plot for two data sets, including data grouping.

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

A Matlab code for Brain MRI Tumor Detection and Classification

LORENTZFIT fits a single- or multi-parameter Lorentzian function to data

MATLAB files from the webinar

Feature Selection Library (MATLAB Toolbox)

Least squares spline modeling using shape primitives

2D-DIC program that uses contiguous circular subsets, biquintic B-spline interp, and complex ROIs

Quantize and Compress Deep Learning models

Interface for Deep Learning Libraries from MATLAB Coder

Pretrained Resnet-101 network model for image classification

Super fast and terse kmeans clustering.

Calculate any of 6 different ICCs with confidence intervals

This submission is a realization of the Hilbert-Huang transform (HHT).

Pretrained Inception-v3 network model for image classification

Distance based interpolation along a general curve in space

Pretrained DenseNet-201 network model for image classification

Benjamini & Hochberg/Yekutieli false discovery rate control procedure for a set of statistical tests

Fit polynomial to data, forcing y-intercept to zero or arb. value and slope to zero or arb. value

Mann-Kendall non-parametric trend test.

Takes lines plotted in figure and puts them into cftool.

The aim of OCR is to classify optical patterns corresponding to alphanumeric or other characters.

Various tools for working with large point clouds

A Matlab code to detect and classfy diseases in plant leaves using a multiclass SVM classifier

A self-contained package for computing mutual information, joint/conditional probability, entropy

This function calculates p-values for ten well-known normality tests.

Interface for Deep Learning Libraries from GPU Coder

Fit a circle to a set of measured x,y points.

Smooths a 2D matrix using a mean filter over a user-defined rectangle. Ignores and preserves NaNs.

A fully connected customizable neural network with an example.