ejhusom Goto Github PK

bluehealthpass-ml

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

cnc_milling_tool_wear

codecarbon

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

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.

deepventilation

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

ejhusom.github.io

Projects by Erik Johannes Husom.

ensemble-explainers

erdre

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

erikjohannesno

fjellregionensridehall

flow

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

flower

Flower: A Friendly Federated Learning Framework

fys-stk4155

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

fys-stk4155-project-3

Classifying human activity using tree ensembles.

fys3150

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

green-ai

A curated list of Green AI resources.

healthai

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

in3200

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

ingen-explain

keras-uncertainty

Utilities to perform Uncertainty Quantification on Keras Models

label-studio

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

llm-energy-consumption

mc_dropout_tensorflow

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

peakbase

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

project-digitalworker

Experiments and code for the DigitalWorker project.

pydocs

Documentation for Python packages.

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

respiratorypatterns

Recognizing respiratory rate and patterns from abdominal movement.

scaphandre-ollama