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Flexible Statistics Data Analysis Toolbox
Pretrained AlexNet network model for image classification
Violin Plot based on kernel density estimation, using default ksdensity
Pretrained GoogLeNet network model for image classification
Pretrained Resnet-50 network model for image classification
Polynomial modeling in 1 or n dimensions
Shapiro-Wilk & Shapiro-Francia parametric hypothesis test of composite normality.
Fast computation of intersections and self-intersections of curves using vectorization.
Pretrained VGG-16 network model for image classification
Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA)
Compute descriptive and inferential statistics for circular or directional data.
Import and export ONNX™ models within MATLAB for interoperability with other deep learning frameworks
Transfer Learning of Pre-trained Neural Network or Imported ONNX Classification Model in GUI
Neural Network Toolbox Model for ResNet-18 Network
Computes intersection points of two curves.
An algorithm for manifold learning and dimension reduction.
Import and export TensorFlow models within MATLAB
Time Series Prediction by use of Deep learning and shallow learning algorithms
Benjamini & Hochberg/Yekutieli false discovery rate control procedure for a set of statistical tests
NURBS Toolbox by D.M. Spink re-uploaded. The previous link has broken.
Pretrained VGG-19 network model for image classification
A Matlab code for Brain MRI Tumor Detection and Classification
Model 2-d surfaces from scattered data
Pattern Recognition and Machine Learning Toolbox
2D-DIC program that uses contiguous circular subsets, biquintic B-spline interp, and complex ROIs
A simple file reader for European Data Formatted (EDF-) files.
It provides deep learning tools of deep belief networks (DBNs).
MATLAB implementation of ACO for Discrete and Combinatorial Optimization Problems
Plots a Bland-Altman and correlation plot for two data sets, including data grouping.
Fit polynomial to data, forcing y-intercept to zero or arb. value and slope to zero or arb. value
Pretrained Resnet-101 network model for image classification
This function calculates p-values for ten well-known normality tests.
Calculate any of 6 different ICCs with confidence intervals
With Trelea, Common, and Clerc types along with ...
Pretrained Xception model for image classification
Pretrained MobileNet-v2 model for image classification
Use MATLAB Coder to generate C and C++ code for deep learning networks
Various tools for working with large point clouds
Quickly create publication-quality plots: automatic colors & subplots, stats, violin/box plots, etc.
Performs polynomial regression on multidimensional data.
Pretrained Inception-v3 network model for image classification
LORENTZFIT fits a single- or multi-parameter Lorentzian function to data
Pretrained EfficientNet-b0 model for image classification
Super fast and terse kmeans clustering.
Pretrained ShuffleNet model for image classification
A fully connected customizable neural network with an example.
Least squares spline modeling using shape primitives
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, NB, and etc., which are simpler and easy to implement.
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0
Eliza, a 1960s AI Program, emulates a psychotherapist. Useful for introductions to AI and other educational activities.
Pretrained Inception-ResNet-v2 network model for image classification
Fit a circle to a set of measured x,y points.
Quantize and Compress Deep Learning models
Pretrained DenseNet-201 network model for image classification
Feature Selection Library (MATLAB Toolbox)
Pretrained DarkNet-53 network model for image classification
Slides and MATLAB® code for the day-ahead system load and price forecasting case study.
This exercise estimates the statistical properties of a speech signal, namely the PDF.
Mann-Kendall non-parametric trend test.
Use GPU Coder to generate optimized CUDA code for deep learning networks
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