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Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 1,931 public repositories matching this topic...

MathFoundationRL / Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

machine-learning reinforcement-learning book tutorials courses

Updated Mar 11, 2025
MATLAB

PRML / PRMLT

Matlab code of machine learning algorithms in book PRML

machine-learning algorithms matlab machine-learning-algorithms prml

Updated Mar 4, 2020
MATLAB

atinesh-s / Coursera-Machine-Learning-Stanford

Machine learning-Stanford University

machine-learning coursera stanford-university

Updated Jan 29, 2025
MATLAB

machine-learning-octave

trekhleb / machine-learning-octave

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

machine-learning neural-network clustering matlab linear-regression regression prediction octave neural-networks

Updated Jul 8, 2020
MATLAB

vkosuri / CourseraMachineLearning

Coursera Machine Learning By Prof. Andrew Ng

machine-learning coursera coursera-machine-learning

Updated Aug 28, 2019
MATLAB

bertinetto / siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

machine-learning computer-vision deep-learning object-tracking siamese-network

Updated May 16, 2019
MATLAB

bertinetto / cfnet

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

machine-learning computer-vision deep-learning object-tracking meta-learning cvpr2017 correlation-filter

Updated May 31, 2018
MATLAB

lzz19980125 / awesome-time-series-segmentation-papers

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

data-science machine-learning data-mining awesome deep-learning time-series dataset awesome-list segmentation motion-capture unsupervised-learning time-series-analysis anomaly-detection change-point-detection time-series-models paper-list time-series-segmentation multivariate-time-series univariate-time-series

Updated Feb 19, 2025
MATLAB

OpenOCL / OpenOCL

Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.

machine-learning robotics trajectory-optimization optimal-control numerical-optimization control-theory model-predictive-control

Updated May 24, 2020
MATLAB

TheAlgorithms / MATLAB-Octave

This repository contains algorithms written in MATLAB/Octave. Developing algorithms in the MATLAB environment empowers you to explore and refine ideas, and enables you test and verify your algorithm.

machine-learning algorithm euler project-euler algorithms datastructures matlab machine-learning-algorithms project octave mit-license octave-scripts counting-sort nearest-neighbour-algorithm m-scripts m-script project-euler-solutions

Updated Jan 23, 2023
MATLAB

anilbas / 3DMMasSTN

MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

machine-learning deep-neural-networks computer-vision deep-learning matlab face convolutional-neural-networks matconvnet vgg-face-matconvnet spatial-transformer-network 3dmm stn dagnn siamese-network basel-face-model 3d-morphable-models

Updated Apr 15, 2018
MATLAB

bertinetto / staple

[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"

machine-learning computer-vision object-tracking cvpr2016

Updated Apr 25, 2017
MATLAB

hiroyuki-kasai / SGDLibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Updated May 11, 2023
MATLAB

acerbilab / vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

machine-learning matlab data-analysis bayesian-inference gaussian-processes variational-inference

Updated May 3, 2023
MATLAB

SrirajBehera / Machine-Learning-Andrew-Ng

Full Notes of Andrew Ng's Coursera Machine Learning.

machine-learning andrew-ng-course

Updated Aug 13, 2021
MATLAB

khanhnamle1994 / neural-nets

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

machine-learning deep-learning neural-network

Updated Jul 8, 2020
MATLAB

callmekeyboardman / Machine-Learning-Andrew-Ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

machine-learning matlab linear-regression logistic-regression regularization andrew-ng cs229

Updated May 27, 2022
MATLAB

JingweiToo / Wrapper-Feature-Selection-Toolbox

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

machine-learning data-mining genetic-algorithm feature-selection ant-colony-optimization differential-evolution cuckoo-search particle-swarm-optimization firefly-algorithm metaheuristics salp-swarm-optimization harris-hawks-optimization bat-algorithm ant-lion-optimizer grey-wolf-optimizer moth-flame-optimization flower-pollination-algorithm whale-optimization-algorithm multi-verse-optimizer

Updated Mar 4, 2021
MATLAB

gudbrandtandberg / CPSC540Project

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg

machine-learning stock-market stock-price-forecasting

Updated Apr 22, 2017
MATLAB

canlab / CanlabCore

Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

machine-learning matlab toolboxes neuroscience connectivity fmri mediation meta-analysis canlab

Updated Mar 13, 2025
MATLAB

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