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Logo for DoE2Vec

DoE2Vec

DoE2Vec is a self-supervised approach to learn exploratory landscape analysis features from design of experiments. The model can be used for downstream meta-learning tasks such as learninig which optimizer works best on a given optimization landscape.

  • Machine learning
  • optimization
  • python
  • Python
  • R
  • Makefile
1
13

FastMLC

Detect clusters in for example large collections of DNA or protein sequences, and visualize the results in a web browser.

  • Big data
  • Machine learning
  • Visualization
  • C++
  • C
  • Makefile
  • + 5
5
11

gammalearn

Deep Learning for Imaging Cherenkov Telescopes Data Analysis

  • cta
  • deep learning
  • Gamma-ray telescopes
  • + 1
  • Python
  • Dockerfile
4
9
Logo for MapReader

MapReader

MapReader is an end-to-end computer vision (CV) pipeline for exploring and analyzing images at scale.

  • computer vision
  • digital humanities
  • geospatial
  • + 4
  • Python
  • TeX
  • Dockerfile
  • + 1
7
9

Clustering Geo-data Cubes

Tool to perform cluster analysis of multi-dimensional geospatial data, running on local or distributed systems.

  • Big data
  • geospatial
  • Machine learning
  • + 1
  • Python
  • Jupyter Notebook
  • TeX
7
8
Logo for Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction

  • Feed-forward neural network
  • Machine learning
  • MATLAB
  • + 5
    3
    7

    PuReGoMe

    Analyzes social media messages for polarity and stance towards governmental COVID-19 measures

    • Machine learning
    • Social media
    • Jupyter Notebook
    • Python
    • Shell
    3
    6
    Logo for Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

    Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

    Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

    • chloride
    • Delta
    • estuary
    • + 7
      4
      5

      eEecology Classification

      Automatic classification of accelerometer data using a supervised learning approach.

      • Machine learning
      • Java
      • JavaScript
      • HTML
      • + 3
      1
      5
      Logo for mexca

      mexca

      Capture emotion expressions from video, audio, and text with a single pipeline.

      • Audio processing
      • Image processing
      • Machine learning
      • + 1
      • Python
      • Dockerfile
      • Shell
      5
      5

      sv-channels

      Genome-wide detection of structural variants using deep learning

      • Machine learning
      • Python
      • Jupyter Notebook
      • R
      • + 1
      4
      5
      Logo for SBSL

      SBSL

      Data and code underlying the publication: Overcoming Selection Bias in Synthetic Lethality Prediction

      • anti-cancer therapeutics
      • computational prediction
      • gene dependency
      • + 3
        3
        4