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aml-days-tda-tutorial

atrial-fibrillation-cellular-automata

Supplementary source code for the manuscript: Mechanisms of stochastic onset and termination of atrial fibrillation episodes: Insights using a cellular automaton model

bsnfusion

ca-parkinsons

Cluster analysis of Parkinson's disease

caaf

A Python implementation of a cellular automaton model of atrial fibrillation, an abnormal heart rhythm.

capstone-project-detection-of-atrial-fibrillation

Capstone Project 2019

chaostools.jl

Tools for the exploration of chaos and nonlinear dynamics

classification-python

This repository contains projects done by some of classification techniques. Python.

collection

Collection of Hyperdimensional Computing Projects

debacl

Density Based Clustering (DeBaCl) Toolbox

diagnosing-parkinsons

Synopsys and CSSF project: Classification and diagnosis of Parkinson's Disease

ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

ecg-hd

Atrial Fibrillation detection on ECG signals using Hyperdimensional Computing

edge-ai-platform-tutorials

Tutorials for the Edge AI Platform

eeg_emotion_classifier_deap

EEG Emotion classification using the DEAP pre-processed data

emotion-recogniton-from-eeg-signals

Emotion Recognition from EEG Signals using the DEAP dataset with 86.4% accuracy. Applied multiple machine learning models and implemented various signal transforming algorithms like the DWT algorithm.

feup-iart

A repository to host IART projects.

financial_crash_landscape_analysis_using_tda

Topological Data Analysis of a Financial Time Series for insights from Landscapes for detecting Financial Crashes

fractal_heart_rate_analysis

Analysis of Fractal Heart Rate

gaitparkinson

giotto-tda

A high-performance topological machine learning toolbox in Python

hellogit

Test.

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

miccai-author-stats

In this project, I did a survey with all the papers in MICCAI 2010-2018 to find relation between scholars.

parkinson-detection

A machine learning approach to detection of Parkinson's disease.

parkinson-s-disease-detection-using-gait-analysis

A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use of Gait Data Analysis to make powerful inferences which would help in genralizing the most common groups affected by this disease.

parkinsons

Build a robust classification model for Parkinson's Disease

parkinsonsdiseasedataanalysis

Parkinson's disease data analysis from uci machine learning repository dataset.

ppmi-challenge-2016

Parkinson's Progression Marker Initiative data science challenge, 2016

pwc

Papers with code. Sorted by stars. Updated weekly.