MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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Updated
May 11, 2023 - MATLAB
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Riemannian stochastic optimization algorithms: Version 1.0.3
Matlab implementation of the Adam stochastic gradient descent optimisation algorithm
AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Simple MATLAB toolbox for deep learning network: Version 1.0.3
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Subsampled Riemannian trust-region (RTR) algorithms
Train a SVM and for detecting human upper bodies in TV series The Big Bang Theory
Neural network-based character recognition using MATLAB. The algorithm does not rely on external ML modules, and is rigorously defined from scratch. A report is included which explains the theory, algorithm performance comparisons, and hyperparameter optimization.
Stochastic Gradient Descent implementation for SoftSVM
Classify 6 types of human activity from time series sensor data
Implemented Kernel SVM using Quadratic Programming and Stochastic Gradient Descent
Code in MATLAB for 1st order optimization algorithms implemented for elastic net regularized convex objective functions.
Implement of SVM using Stochastic gradient descent - Stony Brook CSE512 Machine learning
Images have to be entered in the database using Image Data Collection Program
Cat vs. car detection with multi-layer NN
A Single Layer Neural Network to recognize digits making use of unconstrained, non-linear optimization
Single layer perceptron to process images of alphabet letters
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