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196 search results found

Prmlt ⭐ 5,091

Matlab code of machine learning algorithms in book PRML

Elitequant ⭐ 2,397

A list of online resources for quantitative modeling, trading, portfolio management

Coursera Machine Learning Stanford ⭐ 628

Machine learning-Stanford University

Machine Learning Octave ⭐ 581

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

Siamese Fc ⭐ 552

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 Ml Using Matlab Python ⭐ 460

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

Armadillo Code ⭐ 439

Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net

Pretty Print Confusion Matrix ⭐ 408

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Ml Class Assignments ⭐ 374

Programming Exercises on http://ml-class.org

Change Detection Review ⭐ 352

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

Matlab Octave ⭐ 250

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.

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

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

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

3dmmasstn ⭐ 194

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

Sgdlibrary ⭐ 181

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Machinelearning_ng ⭐ 163

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

Neural Nets ⭐ 157

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

Machine Learning Andrew Ng ⭐ 150

机器学习-Coursera-吴恩达- python+Matlab代码实现

Notebook ⭐ 140

✍ 记录一路走来学习的计算机专业知识，力求构建 AI & CS & SE 知识体系

Canlabcore ⭐ 135

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.

Matlab and Python toolbox for fast Total Variation proximity operators

Openocl ⭐ 117

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

Coursera Machinelearning ⭐ 112

Homework about Machine Learning of Coursera taught by andrew ng

Paramonte ⭐ 112

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

Tomophantom ⭐ 105

Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing

Stackexchangecodes ⭐ 100

Codes related to answers on StackExchange Network.

Cpsc540project ⭐ 93

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

Courseramachinelearning ⭐ 92

Coursera Machine Learning By Prof. Andrew Ng

Ml Class ⭐ 81

Stanford Machine learning class excercises

Ordinal Regression and Classification Algorithms

My_notebook ⭐ 69

サイエンス、テクノロジー、エンジニアリング関連の情報を記載したノート（忘備録）です。

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

Machine Learning ⭐ 67

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

Machinelearning ⭐ 65

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

Frauddetection ⭐ 64

Accounting Fraud Detection Using Machine Learning

AI-mag: Inductor Modeling and Design with FEM and Artificial Neural Network

Matlabsamples ⭐ 58

🧐 Matlab Samples 👽 keep updating

Micaopen ⭐ 58

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

Machine Learning For Solar Energy Prediction ⭐ 57

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

The Surprisingly ParalleL spArse Tensor Toolkit.

SG⁺⁺ – the numerical library for Sparse Grids in all their variants.

Library of transfer learners and domain-adaptive classifiers.

Machine Learning Coursera ⭐ 54

My Solution to Assignments of Machine-Learning on Coursera

Machine Learning Exercise ⭐ 54

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

Machine Learning Coursera ⭐ 52

Machine Learning (Spring 2014)

Riemannian stochastic optimization algorithms: Version 1.0.3

Kaggle Eeg ⭐ 49

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

Clusteringdirectioncentrality ⭐ 49

A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

Coursera Machinelearning ⭐ 41

Stanford University - Machine Learning by Andrew Ng

Vmd Mfrfnn ⭐ 39

Ml Class ⭐ 39

My solutions to programming exercises from Stanford online Machine Learning class.

The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior.

Velocity ⭐ 32

Structure From Motion (SFM) for vehicle speed

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

Human Activities Gestures Recognition Using Channel State Information Csi Of Ieee 802.11n ⭐ 31

This is a data-set for Human Activities & Gestures Recognition (HAGR) using the Channel State information (CSI) of IEEE 802.11n devices

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Foggysynscapes ⭐ 30

Semantic Understanding of Foggy Scenes with Purely Synthetic Data

🐳 Scripps Whale Acoustics Lab 🌎 Scripps Acoustic Ecology Lab - Triton with remoras in development

Iptutorials ⭐ 29

Image processing tutorials

Bci_toolbox ⭐ 29

Classification toolbox for ERP and SSVEP based BCI data

Puttingabuginml ⭐ 28

Code for the paper "Putting a bug in ML: The moth olfactory network learns to read MNIST", by CB Delahunt and JN Kutz

Coursera Machine Learning Andrew Ng ⭐ 27

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments

Audio_steganalysis_ml ⭐ 27

Audio steganalysis based on traditional handcrafted features design.

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Dbcollection ⭐ 27

A collection of popular datasets for deep learning.

Max Value Entropy Search ⭐ 27

Max-value Entropy Search for Efficient Bayesian Optimization

Davetools ⭐ 26

A Java package, nominally built in NetBeans, that allows use of DAVE-ML simulation models within tools such as Mathwork's Simulink(R) and Matlab(R) products

This is the page for the book Digital Signal Processing with Kernel Methods.

Arrhythmia Ecg Analysis Ai ⭐ 26

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & WEKA/MATLAB Supervised Training

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.

Ml In Action ⭐ 24

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 for book "Machine Learning Introduction & action in MATLAB")

Multi-output Least-Squares Support Vector Regressor

Alvis Intro ⭐ 23

Introduction tutorial and examples for Alvis

Deep Multitask Architecture for Integrated 2D and 3D Human Sensing (CVPR 2017)

An easy to use decoding toolbox for Matlab users.

Cs273a Introduction To Machine Learning ⭐ 22

Introduction to machine learning and data mining How can a machine learn from experience, to become better at a given task? How can we automatically extract knowledge or make sense of massive quantities of data? These are the fundamental questions of machine learning. Machine learning and data mining algorithms use techniques from statistics, optimization, and computer science to create automated systems which can sift through large volumes of data at high speed to make predictions or decisions

Lpbox Admm ⭐ 22

A generic optimization method for any integer programming problem

Meta Embeddings ⭐ 21

Meta-embeddings are a probabilistic generalization of embeddings in machine learning.

Sparsegdlibrary ⭐ 21

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

Machine_learning_from_scratch_matlab_python ⭐ 21

Vectorized Machine Learning in Python 🐍 From Scratch

machine learning

Ksvd_reg ⭐ 20

Regularized K-SVD Algorithm

Face Recognition ⭐ 20

A GPU-accelerated real-time face recognition system based on classical machine learning algorithms

Ml Theory Class ⭐ 19

Theoretical Machine Learning (APPM 4490) class, Spring 2022

Nbs Predict ⭐ 19

A prediction-based extension of network-based statistics.

Speakeridentificationneuralnetworks ⭐ 18

⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network base

Mlss 2016 ⭐ 18

MLSS 2016 material.

Adaptiveresonance.jl ⭐ 18

A Julia package for Adaptive Resonance Theory (ART) algorithms.

Id3 Decision Tree ⭐ 18

A MATLAB implementation of the ID3 decision tree algorithm for EECS349 - Machine Learning

Machine Learning For Regression ⭐ 18

Interactive courseware module that introduces typical workflow, setup, and considerations involved in solving regression problems with machine learning.

Arrhythmia Ecg Analysis Pds ⭐ 17

Arrhythmia Classification through Characteristics Extraction with Discrete Wavelet Transform & Machine Learning

Machine Learning And Ufldl ⭐ 17

Lectures and notes, with my honor code as programming exercise.

Projection Pursuit ⭐ 16

Code for performing various projection pursuit routines

Book_about_quadratization ⭐ 16

Open collaborative book on quadratization in discrete optimization and quantum mechanics.

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