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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

116

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

115

MS2DeepScore

Deep learning based similarity measure of mass spectrometry data.

Jupyter Notebook
Python

114

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

101

MAGMa

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

Big data
Visualization

Python
JavaScript
Makefile
+ 5

matchms

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

Big data
Optimized data handling

Python
TeX
Batchfile
+ 1

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

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.