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Bacting

Bacting is an open-source platform for chemo- and bioinformatics based on Bioclipse that defines a number of common domain objects and wraps common functionality, providing a toolkit independent, scriptable solution to handle data from the life sciences.

  • bioinformatics
  • Cheminformatics
  • (Java)
  • (TeX)
1
9

gammalearn

Deep Learning for Imaging Cherenkov Telescopes Data Analysis

  • cta
  • deep learning
  • Gamma-ray telescopes
  • + 1
  • (Dockerfile)
  • (Python)
4
9

orbitN

Symplectic integrator for near-Keplerian planetary systems

  • astronomical solution
  • astronomy
  • N-body
  • + 2
    1
    9

    pdb2sql

    Fast and versatile Python package that leverages SQL queries to parse, manipulate and process biomolecular structure files. The structure files should be in the PDB format and are available on www.rcsb.org.

    • Big data
    • Optimized data handling
    • (Makefile)
    • (Python)
    • (TeX)
    2
    9
    Logo for Turing Data Safe Haven

    Turing Data Safe Haven

    Data Safe Haven is an open-source framework for creating Trusted Research Environments (TREs) to analyse sensitive data. It provides a set of scripts that will allow you to deploy, administer and use your own TRE on Microsoft Azure cloud.

    • Cloud
    • cloud storage
    • Infrastructure as code
    • + 3
    • (Dockerfile)
    • (Jinja)
    • (Python)
    • + 3
    29
    9

    WRFpy

    WRFpy is a python application that provides an easy way to set up, run, and monitor Weather Research and Forecasting simulations

    • Data Simulation
    • python
    • (Python)
    4
    9
    Logo for Xenon command line interface

    Xenon command line interface

    A command line interface for the Xenon library that allows you to use remote machines to do your computations.

    • High performance computing
    • (Batchfile)
    • ("Common Workflow Language")
    • (Dockerfile)
    • + 2
    2
    9
    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
      8
      Logo for Code underlying the publication: "PATE: Proximity-Aware Time series anomaly Evaluation"

      Code underlying the publication: "PATE: Proximity-Aware Time series anomaly Evaluation"

      Code underlying the publication: "PATE: Proximity-Aware Time series anomaly Evaluation"

      • Anomaly detection
      • Evaluation Metrics
      • Precision
      • + 2
      • (Markdown)
      • (Other)
      • (Python)
      • + 1
      3
      8
      Logo for Hanson's Model in Frequency Domain - Tonal Noise of Rotors in Uniform Inflow

      Hanson's Model in Frequency Domain - Tonal Noise of Rotors in Uniform Inflow

      Hanson's Model in Frequency Domain - Tonal Noise of Rotors in Uniform Inflow

      • Hanson's model
      • Propeller Aeroacoustics
      • Propeller Noise
      • + 1
        1
        8
        Logo for Hydrodynamic Analysis of Marine Structures-Marine Renewable Energies Lab (HAMS-MREL)

        Hydrodynamic Analysis of Marine Structures-Marine Renewable Energies Lab (HAMS-MREL)

        Hydrodynamic Analysis of Marine Structures-Marine Renewable Energies Lab (HAMS-MREL)

        • BIEM
        • HAMS
        • HAMS-MREL
        • + 4
          5
          8
          Logo for MATLAB scripts created during the work on "Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV"

          MATLAB scripts created during the work on "Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV"

          MATLAB scripts created during the work on "Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV"

          • PIV (Particle Image Velocimetry)
          • Uncertainty Quantification
            3
            8