ejhusom

d2m

A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).

DeepPower

Estimate effort during exercise using deep learning. Power estimation based on breathing patterns.

ejhusom.github.io

Projects by Erik Johannes Husom.

Erdre

Erroneous data repair for Industry 4.0. Machine learning pipeline using DVC.

flow

Data collection tool for power and respiratory inductive plethysmography during exercise, using JavaScript and WebBluetooth.

green-ai

A curated list of Green AI resources.

peakbase

Minimalist tool for peak baggers. Manage and visualize your collection of mountain summits privately in the browser.

respiratory-inductive-plethysmography-for-power-prediction-data

Respiratory inductive plethysmography data and power output collected during cycling workouts. Used in thesis: http://urn.nb.no/URN:NBN:no-89899

Udava

Unsupervised learning for historical data validation (Udava).

DeepVentilation

A deep learning system to predict respiratory flow from ribcage respiratory inductance plethysmography

ejhusom/respiratory-inductive-plethysmography-for-power-prediction-data

Respiratory inductive plethysmography data and power output collected during cycling workouts. Used in thesis: http://urn.nb.no/URN:NBN:no-89899

ejhusom/FYS-STK4155

Source code for the course FYS-STK4155 Applied Data Analysis and Machine Learning at University of Oslo.

ejhusom/FYS-STK4155-project-3

Classifying human activity using tree ensembles.

ejhusom/FYS3150

Source code for the course FYS3150 Computational Physics at University of Oslo.

ejhusom/cnc_milling_tool_wear

ejhusom/DeepVentilation

A deep learning system to predict respiratory flow from ribcage respiratory inductance plethysmography

ejhusom/IN3200

Source code for the course IN3200 High-performance Computing and Numerical Projects at University of Oslo.