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Logo for Inseq
@research-software-directory.org

Inseq

Interpretability for sequence generation models 🐛 🔍

  • deep learning
  • Explainable AI
  • generative models
  • + 2
  • (Dockerfile)
  • (Makefile)
  • (Python)
0
26
Logo for laserchicken
@research-software-directory.org

laserchicken

Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning

  • Big data
  • Machine learning
  • ("Jupyter Notebook")
  • (Python)
12
26
Logo for MUSCLE3
@research-software-directory.org

MUSCLE3

MUSCLE3 is a coupling library for building multiscale simulations out of single-scale models.

  • High performance computing
  • Multi-scale & multi model simulations
  • (C)
  • (C++)
  • (Dockerfile)
  • + 4
4
26
Logo for OMUSE
@research-software-directory.org

OMUSE

A Python environment to interface and couple oceanographic and other earth system model codes.

  • High performance computing
  • Multi-scale & multi model simulations
  • (Batchfile)
  • (C)
  • (C++)
  • + 10
8
26
Logo for Code accompanying the paper "Modeling the effect of prior austenite grain size on bainite formation kinetics."
@research-software-directory.org

Code accompanying the paper "Modeling the effect of prior austenite grain size on bainite formation kinetics."

Code accompanying the paper "Modeling the effect of prior austenite grain size on bainite formation kinetics."

  • Bainite
  • Grain size
  • Nucleation
  • + 2
    3
    25
    Logo for Code supporting the publication: Going in style: Audio backdoors through stylistic transformations.
    @research-software-directory.org

    Code supporting the publication: Going in style: Audio backdoors through stylistic transformations.

    Code supporting the publication: Going in style: Audio backdoors through stylistic transformations.

    • backdoor attack
    • deep learning
    • Google Speech Commands
    • + 4
    • (Other)
    • (Python)
    • (Shell)
    2
    25
    Logo for Imitation learning model and datasets: "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP"
    @research-software-directory.org

    Imitation learning model and datasets: "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP"

    Imitation learning model and datasets: "A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP"

    • branch-and-bound
    • imitation learning
    • MIP
    • + 3
      2
      25
      Logo for APE
      @research-software-directory.org

      APE

      A CLI, Java API and RESTful API for the automated generation of computational pipelines (scientific workflows) from large collections of computational tools.

      • Java
      • Program synthesis
      • Workflow technologies
      • (ANTLR)
      • ("Common Workflow Language")
      • (Java)
      5
      25
      Logo for Numerical and analytical model for Taylor flow in tubular CO2 electrolyser
      @research-software-directory.org

      Numerical and analytical model for Taylor flow in tubular CO2 electrolyser

      Numerical and analytical model for Taylor flow in tubular CO2 electrolyser

      • COMSOL
      • gas-liquid Taylor flow
      • MATLAB
      • + 1
        4
        24
        @helmholtz.software

        calibr8

        calibr8 is a Python toolbox for likelihood-based calibration modeling and Bayesian inference. It supports uni- and multivariate problems, continuous & discrete distributions and includes ready to use models for many non-linear problems. It integrates with PyMC for advanced Bayesian inference.

        • Calibration
        • Data analysis
        • Earth & Environment
        • + 4
        • Jupyter Notebook
        • Python
        2
        24
        Logo for CorC
        @helmholtz.software

        CorC

        With CorC, we implemented an IDE to create programs following the Correctness-by-Construction approach. Starting with an abstract specification, CorC supports CbC developers in refining a program by a sequence of refinement steps and in verifying the correctness of these refinements.

        • Eclipse
        • WebCorC
        • Java
        • ANTLR
        5
        24
        @research-software-directory.org

        DeepRank2

        DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants. This package is an improved and unified version of three previously developed packages: DeepRank, DeepRank-GNN and DeepRank-Mut.

        • Cancer vaccine
        • Convolutional Neural Network
        • Deep Learning Framework
        • + 5
        • (Dockerfile)
        • ("Jupyter Notebook")
        • (Python)
        • + 1
        12
        24