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196 search results found

Machine Learning Coursera ⭐ 15

Stanford Machine Learning MOOC from Coursera by Andrew Ng.

Wbc_matlab ⭐ 14

Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)

Toolbox for parameter estimation of the Standard Model of diffusion in white matter

Coursera Machine Learning ⭐ 14

MATLAB assignments in Coursera's Machine Learning course

Kernel Ep ⭐ 14

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Spectrum Sensing ⭐ 14

Spectrum sensing in cognitive radios leveraging machine learning models

Deep Ordinal Regression with Label Diversity

COBAYN: Compiler Autotuning Framework Using Bayesian Networks

Tridfusion ⭐ 13

TriDFusion (3DF) Medical Imaging Viewer

Machine Learning And System Identification For Adaptive Optics ⭐ 13

This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.

Matlab For Machine Learning ⭐ 13

MATLAB for Machine Learning, published by Packt

Dicomtoolboxmatlab ⭐ 12

Import, visualize, and extract image features from CT and RT Dose DICOM files in MATLAB.

anTraX: high throughput tracking of color-tagged insects

Bookcode Of Irasuto De Manabu Kikai Gakusyuu ⭐ 12

Bookcode of イラストで学ぶ機械学習

Neural Component Analysis ⭐ 12

This repository is mainly to show the source code of neural component analysis.

Multiarm Pendulum ⭐ 12

This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.

Dcase2016 Baseline System Matlab ⭐ 12

Open Source Contributions ⭐ 11

This is an open-source contribution opportunity. It is for everyone. So, Hurry up...!! Don't forget to spread love and if you like give a ⭐️

Predictive principal component analysis (PredPCA)

Sang-Wook's Library (SWL)

Cboglobalconvergenceanalysis ⭐ 11

Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

ICML'18 workshop - A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

Perturbed Topological Signature ⭐ 11

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

Seismic Features For Machine Learning ⭐ 11

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

Autoufstool ⭐ 10

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

Neural Networks Templates Library

Cs229 Machine Learning Solar Energy Predictions ⭐ 10

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Spectralanalysis ⭐ 10

Software for the analysis and interactive exploration of spectral imaging data

The Hamilton Eye Institute Macular Edema Dataset (HEI-MED) (formerly DMED) is a collection of 169 fundus images to train and test image processing algorithms for the detection of exudates and diabetic macular edema. The images have been collected as part of a telemedicine network for the diagnosis of diabetic retinopathy

Multi-layer non-negative matrix factorization MATLAB implementation.

Decaptcha ⭐ 9

CAPTCHA solver | Machine Learning | Neural Networks | Image Processing | Feature Extraction | Optical Character Recognition | MATLAB

LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms

Wrapper Feature Selection Toolbox ⭐ 9

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.

Prediction Of Pcos Using Optimized Ml Classifiers ⭐ 9

Official Code Files For My Research Paper Presented at 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022). Paper Published in Springer Book Series, "Algorithms for Intelligent Systems (AIS)".

An implementation of Anchor Graph Hashing (Liu et al. 2011) in Python.

Ml Based Csi Feedback ⭐ 9

Machine Learning-Based CSI Feedback With Variable Length in FDD Massive MIMO

CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors

Automated Venture Capitalist ⭐ 9

Contains information for the AAAI-KDF'20 paper "The Automated Venture Capitalist".

Sca Ml Topopt ⭐ 8

Repo for Li, Kafka, Gao et al 2019 "Clustering discretization methods for generation of material performance databases in machine learning and design optimization"

Approximatenonlinearmpc ⭐ 8

Implementation of model predictive control for nonlinear systems via machine learning and function approximators

iNEDI (improved New Edge-Directed Interpolation) Image Zooming Algorithm

Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"

Neural.benchmark ⭐ 8

Comparisons of HTM to other ML algorithms on well known datasets and synthetic anomaly benchmarks

A Generalizable Bci Using Machine Learning For Feature Discovery ⭐ 8

Repository of data and source code for publication 'A Generalizable BCI using Machine Learning for Feature Discovery'

Tensorflow.m ⭐ 8

MATLAB/Octave bindings for TensorFlow

Movies Recommender ⭐ 8

A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.

The implementation of ICSC: Domain Adaptation via Incremental Confidence Samples into Classification

A Lightweight Deep Learning Library in MATLAB

Ml Algorithms Matlab ⭐ 8

Machine learning algorithms with Matlab.

Matlab On Aws Sagemaker ⭐ 8

Segmentation ⭐ 8

Buildings segmentation and multiple sclerosis lesions segmentation (Dictionary learning, Encoding, Classification)

Multi-Layer Random Forest, with Circularity Features, for Image Segmentation

Implementation of the paper "Human-like Planning for Reaching in Cluttered Environments" (ICRA 2020)

Machinelearing Homework ⭐ 8

UESTC MachineLearning course homework（电子科技大学《机器学习》课程作业）

Photonmind ⭐ 8

Design photonic integrated circuits with artificial neural networks

Celltypeclassification ⭐ 8

Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images

Shelf_textbook ⭐ 7

Mes notes de cours et fascicules de TP partagés avec les étudiants du dép. GE de l'ISET de Bizerte.

Coursera_nn_for_ml_hinton ⭐ 7

The assignments for the Neural Networks for Machine Learning from Prof. Hinton

Csendistance ⭐ 7

Representation Based Regression for Object Distance Estimation

Coursera Ml ⭐ 7

💡This repository contains all of the lecture exercises of Machine Learning course by Andrew Ng, Stanford University @ Coursera. All are implemented by myself and in MATLAB/Octave.

Coursera_machine_learning ⭐ 7

About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this clas

Machine_learning ⭐ 7

Machine Learning - Coursera.org

Pixelclassifier ⭐ 7

A single-layer Random Forest model for pixel classification (image segmentation).

Interpolate grain boundary properties in a 5 degree-of-freedom sense via a novel distance metric.

Ai Gridtrader ⭐ 7

For research only.

Eeg_signalsclassification ⭐ 7

Preprocessing, analysis and classification of EEG signals into 4 classes.

Radar Detecting And Tracking ⭐ 7

ECE 2595 Radar Signal Processing Projects

Machine Learning ⭐ 7

Andrew Ng's Machine Learning Course

A MATLAB implementation of the multiple kernel learning algorithm EasyMKL

Coursera Ml005 Unittests ⭐ 7

Formal unit tests for Coursera Machine Learning ml-005

AISTATS 2016. K2-ABC: Approximate Bayesian Computation with Kernel Embeddings.

Machine Learning ⭐ 7

These are some projects related to Machine Learning ~

Detect, recognize and verify faces using hybrid features: “deep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

Digit Recognition ⭐ 7

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE used is MATLAB

The code for DirBN in NeurIPS 2018

Stanford Machine Learning Course On Coursera ⭐ 7

In this repository, you will find the lecture slides and programming assignments that i have done during the course.

Simpledeepnettoolbox ⭐ 7

Simple MATLAB toolbox for deep learning network: Version 1.0.3

Ajive_project ⭐ 7

This repository provides the AJIVE software in Matlab and all related Matlab scripts to reproduce the results in the paper Angle-basied Joint And Individual Variation Explained (Feng et.al., 2018). Please refer to README.md for instruction.

Autonomous Uav ⭐ 6

Based in my last research paper - 2021

Mnist_octave ⭐ 6

Loading MNIST handwritten digits with Octave

Animated Gradient Descent ⭐ 6

Animation of how Gradient Descent finds the local minimum. Demonstrate how learning rate and starting points affect Gradient Descent.

Machine Learning ⭐ 6

The code for the paper "Inter and Intra Topic Structure Learning with Word Embeddings" in ICML 2018.

squared-loss mutual information based feature selection

Traffic Light Detection ⭐ 6

Real time traffic light detection using Machine Learning

"Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis", In ASE 2017

Facerecgsys ⭐ 6

Face Recognition System using Matlab; Algorithms: LBP, PCA, KNN, SVM and Naive Bayes

Machine Learning Navigation ⭐ 6

🎲OmegaXYZ.com机器学习的文章目录

Memoryefficientstablelds ⭐ 6

Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"

Machinelearning Andrew Ng ⭐ 6

吴恩达的机器学习课程的练习（使用OCtave）

ICML 2013. Semi-supervised classifier with squared-loss mutual information regularization

Andrew Machine Learning ⭐ 6

The machine learning notebook for the course of Andrew Ng

Computational Diabetic Retinopathy Detection ⭐ 6

Computational Detection of Diabetic Retinopathy in Retinal Image Scans.

Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar

Code Portfolio ⭐ 5

Code Portfolio -- Collection of Interesting CS and ECE Projects in different languages (C, C++, Python, CPU & GPU Parallel Paradigms, MATLAB, and VHDL) and target hardware with technical reports, and my Vim Config

Video Summarization ⭐ 5

Generating a short summarized video output of a input video strem using clustering

Ese650project6 ⭐ 5

6D Object Pose Estimation using RGBD Data and Fast-ICP

Haskell Numeric Library (Pure Functional, MATLAB & R Syntax)

Deepaction ⭐ 5

Toolbox for classification of animal behavior in video

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