jieeshen

sleep_awake_benchmark

This code is part of the paper ''A Large Scale Benchmark to Validate Sleep-Wake Scoring Algorithms'' currently under review.

20200921AbbViePart1

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

analyze-tremor-bradykinesia-PD

This repository contains Python code that can be used to build analytics to measure aspects of tremor and bradykinesia in patients with Parkinson's Disease. These analytics utilize accelerometer data from a wrist-worn wearable device.

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning

biobankAccelerometerAnalysis

Extracting meaningful health information from large accelerometer datasets

BioSPPy

Biosignal Processing in Python

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

ChatDoctor

chemprop

Message Passing Neural Networks for Molecule Property Prediction

Clinical-Trial-Parser

Library for converting clinical trial eligibility criteria to a machine-readable format.

CNN_design_for_AD

Code for NeuraIPS2019 ML4H "On the design of convolutional neural networks for automatic detection of Alzheimer's disease"

DeepLearningForTimeSeriesForecasting

A tutorial demonstrating how to implement deep learning models for time series forecasting

eda-explorer

Scripts to detect artifacts in EDA data

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

GaitPy

image-based-calorie-estimation

nonconformist

Python implementation of the conformal prediction framework.

pdkit

An Open Source Data Science toolkit for Parkinson's Disease

pytorch_tutorial

pytrials

Python package that wraps around the ClinicalTrials.gov API

recommenders

Best Practices on Recommendation Systems

scikit-digital-health

Python package for the processing and analysis of Inertial Measurement Unit Data

sleeppy

SleepStageClassification

Classification of sleep stages using accelerometer data

tf-estimator-tutorials

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

TrialPathfinder

turicreate

Turi Create simplifies the development of custom machine learning models.

workshops

A few exercises for use at events.