Software | Research Software Directory

AutoEncodersDLSCA

Code underlying the publication: Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis

Autoencoders
Hyperparameter Tuning
Portability
+ 3

Python
Other
Markdown

1

3

Code underlying the publication: Maintenance Optimization for Multi-Component Systems with a Single Sensor

Condition-based maintenance
Inspection planning
Maintenance
+ 2

Python
Other

4

3

Code underlying the publication: "Self-Supervised PPG Representation Learning Shows High Inter-Subject Variability"

Autoencoder
Human Activity Recognition
Inter-Subject Variability
+ 3

Python
Other
Markdown
+ 1

3

Data and code underlying Chapter 4 of the PhD thesis "Advanced Magnetocaloric Regenerators for Heat Pump Applications"

active magnetocaloric regenerator
layered AMR
magnetocaloric heat pump
+ 5

Other
Python

4

3

mpcrl-for-ramp-metering

Source code for the publication: Reinforcement Learning with Model Predictive Control for Highway Ramp Metering

Model predictive control
Ramp Metering
Reinforcement learning

Python
Other
Markdown
+ 1

1

3

scv_sparse_data

Code: Calculate Supply Chain Visibility with Sparse Data

sparse data
supply chain
supply chain visibility

Other
Jupyter Notebook
Python

1

3

SNAPWF

Code underlying the publication: Automated Python workflow for generating Sentinel-1 PSI and SBAS interferometric stacks using SNAP on Geospatial Computing Platform

InSAR
Interferometric Stacks
Open-Source Tools
+ 2

Jupyter Notebook
XML
Python
+ 1

7

3

AstronomicAL

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

Active Learning
Classification
Data Analysis
+ 11

Python
TeX

1

3

Beyond the book

Measure the number of contributions to Wikipedia entries from individuals from different counties as a measure of cultural bias.

Text analysis & natural language processing

Jupyter Notebook
Python
JavaScript
+ 2

2

3

chimp-classifier

The Python package `junglesounds` is a machine learning pipeline for classifying bioacoustic data using machine learning. The pipeline is reusable for other settings and species or vocalization types as long as a certain amount of labeled data has been collected.

audio
Audio processing
bioacoustics
+ 2

Jupyter Notebook
Python
Shell

2

3

Emma

Emma is a project to create a platform for development of application for Spark and DockerSwarm clusters.

Big data

Shell
Scala
Python
+ 1

4

3

eOSSR

The eOSSR is the Python library to programmatically manage the ESCAPE OSSR.

jupyter-notebook
repository
research software
+ 2

Python
Dockerfile

4

3

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