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Logo for OpenLB

OpenLB

OpenLB is a C++ package for the implementation of lattice Boltzmann methods (LBM) to address a vast range of transport problems, e.g. in computational fluid dynamics. The modular open source code enables fast implementation of academic test problems and advanced engineering applications.

  • Computational Fluid Dynamics
  • High Performance Computation
  • Lattice Boltzmann Methods
  • + 4
  • C++
  • C
  • Python
  • + 2
26
156
Logo for MS2DeepScore

MS2DeepScore

Deep learning based similarity measure of mass spectrometry data.

  • Jupyter Notebook
  • Python
2
144
Logo for NNPDF

NNPDF

Fitting proton substructure to observation data using neural networks

  • Machine learning
  • PDF
  • Python
  • Jupyter Notebook
  • C
  • + 5
7
144
Logo for ESMValCore

ESMValCore

ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.

  • Big data
  • Optimized data handling
  • Visualization
  • + 1
  • Python
  • Jupyter Notebook
  • HTML
  • + 5
53
137

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
136
Logo for Scholia

Scholia

Graphical User Interface around Wikidata that uses SPARQL to collect data

  • Wikidata
  • JavaScript
  • Python
  • HTML
  • + 3
4
130

FAIR Data Point

RESTful web service that enables data owners to expose their data sets using rich machine-readable metadata.

  • Big data
  • Inter-operability & linked data
  • Python
  • Makefile
  • Dockerfile
6
127
Logo for Kernel Tuner

Kernel Tuner

Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.

  • Big data
  • GPU
  • High performance computing
  • + 3
  • Python
  • Cuda
15
126
Logo for Parcels

Parcels

Parcels (Probably A Really Computationally Efficient Lagrangian Simulator) is a set of Python classes and methods to create customisable particle tracking simulations using output from Ocean Circulation models. Parcels can be used to track passive and active particulates such as plastic and fish.

  • lagrangian-ocean-modelling
  • ocean-circulation-models
  • particles
  • Python
25
123
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
116
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
102
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
101