ridwanalam Goto Github PK

besi-base-station

The code for the base-station of the BESI system.

besi-motion-analysis

Physical motion is captured using the 3-axis accelerometer on the Pebble watch. These motion data is analyzed to extract features for predicting physical agitation.

besi-relay-nodes

The code for the relay nodes of the BESI system.

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

ecg-attention-maps

ecg_ptbxl_benchmarking

Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

interpret

Fit interpretable models. Explain blackbox machine learning.

introecg

Resource library for getting started with deep learning work using electrocardiograms

m2fed-matlab

memento-androidwear

This is a generalized version of the watch code.

memento-pebble

Event Marker : Stores locally and sends to server asap!

memento-pebble-executables

Event marking using smart watches (e.g. Pebble) for various applications.

ml4h

neurokit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

pebble-pixie

Motion Tracker : Collects accelerometer data and sends to server asap!

pebble-xperio

Pebble experiences of vibe and font options for capturing user preferences in app design

qtnet

https://github.com/mit-ccrg/QTNet

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

thinkbayes

Jupyter Notebooks derived from Allen Downey's book Think Bayes.

westgate-mit