Pretrained AlexNet network model for image classification

Violin Plot based on kernel density estimation, using default ksdensity

Pretrained GoogLeNet network model for image classification

Flexible Statistics Data Analysis Toolbox

Pretrained Resnet-50 network model for image classification

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

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

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

Polynomial modeling in 1 or n dimensions

Compute descriptive and inferential statistics for circular or directional data.

Pretrained VGG-16 network model for image classification

An algorithm for manifold learning and dimension reduction.

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

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

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

Neural Network Toolbox Model for ResNet-18 Network

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

Computes intersection points of two curves.

Model 2-d surfaces from scattered data

Pattern Recognition and Machine Learning Toolbox

MATLAB implementation of ACO for Discrete and Combinatorial Optimization Problems

Import and export TensorFlow models within MATLAB

Pretrained VGG-19 network model for image classification

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

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

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

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

Pretrained Inception-v3 network model for image classification

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

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

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

Least squares spline modeling using shape primitives

A Matlab code for Brain MRI Tumor Detection and Classification

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

Performs polynomial regression on multidimensional data.

Pretrained MobileNet-v2 model for image classification

Use MATLAB Coder to generate C and C++ code for deep learning networks

Fits a circle to a set of data points on a plane; returns the circle center (a,b) and radius R.

Pretrained DenseNet-201 network model for image classification

Super fast and terse kmeans clustering.

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

Distance based interpolation along a general curve in space

Calculate any of 6 different ICCs with confidence intervals

Pretrained Resnet-101 network model for image classification

Pretrained EfficientNet-b0 model for image classification

Various tools for working with large point clouds

Implementation of Density-Based Spatial Clustering of Applications with Noise (DBSCAN) in MATLAB

Face recognition from training convolution neural network and using cascade object detector for cropping faces.

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

Creates an ensemble of cart trees similar to the matlab TreeBagger class.

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

this code returns a fully trained MLP for regression using back propagation of the gradient. I dedicate this work to my son :"Lokmane ".

Feature Selection Library (MATLAB Toolbox)

Add significance bars and asterisks to various plot types

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

Quantize and Compress Deep Learning models

Mann-Kendall non-parametric trend test.

Pretrained DarkNet-53 network model for image classification

MATLAB files from the webinar

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