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DeepRank GNN

DeepRank-GNN is the graph neural network of our DeepRank package. DeepRank GNN allows to train graph neural networks to classify protein-protein interface

  • Machine learning
  • Protein-Protein Interaction
  • Python
2
119
Logo for BridgeDb Java

BridgeDb Java

Java library for identifier mapping

  • Data
  • persistent identifiers
  • Java
  • Perl
  • Shell
  • + 5
18
117

Paired omics data platform

If you do metabolomics experiments with mass spectra and have sequenced the genomes of the samples, then the platform can help you link them.

  • Inter-operability & linked data
  • TypeScript
  • JavaScript
  • HTML
  • + 3
2
111
Logo for matchms

matchms

Python library for fuzzy comparison of mass spectrum data and other Python objects

  • Big data
  • Optimized data handling
  • Python
  • TeX
  • Batchfile
  • + 1
14
106
Logo for MAGMa

MAGMa

MAGMa is an online application for the automatic chemical annotation of mass spectrometry data.

  • Big data
  • Visualization
  • Python
  • JavaScript
  • Makefile
  • + 5
3
100

splithalfr

Estimates split-half reliabilities for scoring algorithms of cognitive tasks and questionnaires.

  • Data Analysis
  • Statistics
  • R
1
99
Logo for DeepRank

DeepRank

Deep learning framework for data mining protein-protein interactions using CNN

  • Big data
  • Machine learning
  • Optimized data handling
  • Python
  • R
  • C
  • + 2
8
97

GrainLearning

Unsure about the parameters of your grains in a computer simulation? Use Iterative Bayesian Filtering to learn parameter distributions from limited data. Is your model running slowly? Speed up your simulations with machine-learning surrogates. All these features are integrated within GrainLearning.

  • Bayesian Inference
  • Data assimilation
  • Machine learning
  • + 2
  • Jupyter Notebook
  • Python
  • PureBasic
  • + 1
3
95
Logo for TraP: The LOFAR Transients Pipeline

TraP: The LOFAR Transients Pipeline

The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for detecting and responding to transient and variable sources in a stream of astronomical images.

  • Image processing
  • radio astronomy
  • Source association
  • + 3
  • Python
  • PLpgSQL
  • Mako
  • + 1
6
95
Logo for Matlab codes for Probabilistic Field Approach for Motorway Driving Risk Assessment

Matlab codes for Probabilistic Field Approach for Motorway Driving Risk Assessment

Matlab codes for Probabilistic Field Approach for Motorway Driving Risk Assessment

  • automated driving
  • Collision probability
  • Reachability analysis
  • + 1
    4
    85

    snvec

    snvec: Pre-computed Precession-Tilt solutions and C code.

    • astronomical solution
    • Astrophysics
    • obliquity
    • + 3
    • C
    1
    85

    svnecR

    Easily calculate precession and obliquity from an astronomical solution and assumed or reconstructed values for dynamical ellipticity (Ed) and tidal dissipation (Td). This is a translation and adaptation of the C-code in Zeebe and Lourens (2022), with further details in Zeebe (2022).

    • astronomical solution
    • cyclostratigraphy
    • dynamical ellipticity
    • + 12
    • R
    • Rez
    2
    85