mhmohassan Goto Github PK
Type: User
Type: User
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
Download ABIDE I and ABIDE II dataset
autism mri dataset in .nii format
Combination of Gamma Gaussian Mixture model and topological FDR for thresholding fMRI statistical maps.
Signal Processing project: Extraction of Feature from EEG Signal to Detect ADHD
Here you can find the files with ALFF and phenotypic values of the ADHD200 database, as well as the results of the classifiers used
An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectral density (PSD), differential entropy (DE), empirical mode decomposition (EMD), common spatial patterns (CSP), microstate analysis and so on. (The list of features will continue to update...)
These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org/content/10.1101/531830v2
ASD diagnosis on ABIDE I
CSP-based EEG feature extraction and visualization and classification tasks
Minimal scripts available for predictions on multiple datasets
IDAO 2022: Machine Learning Bootcamp
Final project for the Monash University Data Bootcamp. An app that can classify MRIs of the brain and predict whether a tumor is present and what kind of tumour. It then stores the results in an SQL database for future reference
The code used to generate results presented in "Classification of alcoholic EEG signals using wavelet scattering transform-based features" , Computers in Biology and Medicine, 2021
CNN Hyperparameters Optimization using Metaheuristic Optimizers
Code and data for reproducing key results in the paper "Utility of Machine-Learning Approaches to Identify Behavioral Markers for Substance Use Disorders: Impulsivity Dimensions as Predictors of Current Cocaine Dependence".
This is the implementation of "Congestive heart failure detection using random forest classifier" paper by Zerina Masetic and Abdulhamit Subasi.
For educational purposes only!
Master's Thesis on Crop Classification with Remote Sensing
Topological Data Analysis of fMRI and high-throughput sequencing data
Clusters EEG Signals
Scripts to a) download DEAP EEG dataset b) preprocess its EEG signals and c) perform feature extraction
Use resting state fMRI dataset of ADHD and controls to predict ADHD and evaluate performance on related population of ADHD
Delay-discounting task measuring impulsivity
The purpose of this paper is to detect Alzheimer’s Disease using Deep Learning and Machine Learning algorithms on the early basis which is being further optimized using CSA(Crow Search Algorithm). Alzheimer’s is one of kind and fatal. The early detection of Alzheimer’s Disease because of it’s progressive risk and patients all around the world. Earl
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.