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.

FYS-STK4155

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

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/d2m

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

ejhusom/Erdre

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

ejhusom/DeepPower

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

ejhusom/ejhusom.github.io

Projects by Erik Johannes Husom.

ejhusom/green-ai

A curated list of Green AI resources.

ejhusom/healthAI

Android app for applying machine learning in the health and wellness domain.

ejhusom/inGen

ejhusom/peakbase

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

ejhusom/RespiratoryPatterns

Recognizing respiratory rate and patterns from abdominal movement.

ejhusom/flow

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

ejhusom/Udava

Unsupervised learning for historical data validation (Udava).

ejhusom/bluehealthpass-ml

Machine learning pipeline used to produce models for the BlueHealthPass project.

ejhusom/codecarbon

Track emissions from Compute and recommend ways to reduce their impact on the environment.

ejhusom/ensemble-explainers

ejhusom/erikjohannesno

ejhusom/fjellregionensridehall

ejhusom/flower

Flower: A Friendly Federated Learning Framework

ejhusom/inGen-explain

ejhusom/keras-uncertainty

Utilities to perform Uncertainty Quantification on Keras Models

ejhusom/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

ejhusom/mc_dropout_tensorflow

This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.

ejhusom/MELODI

ejhusom/project-digitalworker

Experiments and code for the DigitalWorker project.

ejhusom/pydocs

Documentation for Python packages.

ejhusom/scaphandre-ollama

ejhusom/stress-detection

ejhusom/tscluster

Clustering time series subsequences.

ejhusom/udava-testing

ejhusom/unclutterium

Fork of Unclutter, a reader mode browser extension to remove distractions from web articles, with telemtry disabled by default.

ejhusom/workout-analysis

Script for visualizing workouts based on file from GPS-watch.