Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
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Updated
Mar 25, 2017 - Python
Distributed Machine Learning for Bio-marker Prediction from Big Data Stream collected from Multi-modal Wearable Sensor Data
👀 Drishti-Plan: Machine Learning module for Drishti framework
Python 3 interface to the pJITAI mDOT API service
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
Mobile Health (mHealth) Viral Diagnostics Enabled with Adaptive Adversarial Learning.
wearablecompute is an open source Python package containing over 50 data and domain-driven features that can be computed from wearables and mHealth sensor data.
This repository contains the dataset and the source code for the classification of food categories from meal images.
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