Matlab code for machine learning algorithms in book PRML

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..

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

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

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

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

Coursera Machine Learning By Prof. Andrew Ng

Homework about Machine Learning of Coursera taught by andrew ng

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

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

机器学习-Coursera-吴恩达- python+Matlab代码实现

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.

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

机器学习师从Andrew Ng(吴恩达)，获得在Coursera平台上斯坦福大学Andrew Ng（吴恩达教授）机器学习（Machine Learning）的资格证书，为了有一个平台和大家分享和交流机器学习，因此特地在此进行课程的：笔记整理，重点划分，内置习题，在线习题，在线编程题等整理。后期会持续更新吴恩达教授的深度学习的课程，以及后期参加Kaggle比赛的全过程，希望大家持续关注噢。

Stanford University - Machine Learning by Andrew Ng

Ordinal Regression and Classification Algorithms

My Solution to Assignments of Machine-Learning on Coursera

Matlab code for S. Theodoridis' "Machine Learning: A Bayesian and Optimization Perspective" (2015).

Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.

Machine learning exercises.

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

🎓 My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

Max-value Entropy Search for Efficient Bayesian Optimization

Riemannian stochastic optimization algorithms: Version 1.0.3

出版书籍《机器学习入门到实践——MATLAB实践应用》一书中的实例程序。涉及监督学习，非监督学习和强化学习。(code for book "Machine Learning Introduction & action in MATLAB")

Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute