Matlab code of machine learning algorithms in book PRML
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Updated
Mar 4, 2020 - MATLAB
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.
Matlab code of machine learning algorithms in book PRML
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Machine learning-Stanford University
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..
Coursera Machine Learning By Prof. Andrew Ng
This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.
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.
Open Optimal Control Library for Matlab. Trajectory Optimization and non-linear Model Predictive Control (MPC) toolbox.
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
[CVPR'16] Staple: Complementary Learners for Real-Time Tracking"
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
机器学习-Coursera-吴恩达- python+Matlab代码实现
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.
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
Full Notes of Andrew Ng's Coursera Machine Learning.
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.