All software
mexca
Capture emotion expressions from video, audio, and text with a single pipeline.
- Audio processing
- Image processing
- Machine learning
- + 1
- Python
- Dockerfile
- Shell
sv-channels
Genome-wide detection of structural variants using deep learning
- Machine learning
- Python
- Jupyter Notebook
- R
- + 1
Hercules
Retrieve recent tweets from certain users and classify them with machine learning
- Machine learning
- Text analysis & natural language processing
- Python
- Jupyter Notebook
- Shell
BrazilClim: script to gauge-calibrate the surfaces
BrazilClim: script to gauge-calibrate the surfaces
- Bioclimatic variables
- Brazil
- land surface temperatures
- + 4
AstronomicAL
An interactive dashboard for visualisation, integration and classification of data using Active Learning.
- Active Learning
- Classification
- Data Analysis
- + 11
- Python
- TeX
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
MOTrainer
Measurement Operator Trainer for data assimilation purposes.
- Data assimilation
- High performance computing
- Machine learning
- + 2
- Jupyter Notebook
- Python
- TeX
- + 1
NEWSGAC platform
Software for running the online platform of the NEWSGAC project for running explainable machine learning models on textual data
- Explainable AI
- Machine learning
- Text analysis & natural language processing
- Jupyter Notebook
- Python
- HTML
- + 4
ochre
A tool to clean up text generated by OCR using individual words as well as their context.
- Machine learning
- Text analysis & natural language processing
- Common Workflow Language
- Jupyter Notebook
- Python
- + 2
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
- Feedforward neural network
- Machine learning
- Monte Carlo simulations
- + 2
Online COP heuristic learning code: "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems"
Online COP heuristic learning code: "Online Learning of Variable Ordering Heuristics for Constraint Optimisation Problems"
- constraint optimisation problem
- Gecode
- Machine learning
- + 3
qumia-train-scripts
Scripts and files related to ML training for the QUMIA project
- Machine learning
- Neuromuscular
- ultrasound imaging
- Jupyter Notebook
- Python
- Shell