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13-24 of 525

SAGECal

Fast, memory efficient and GPU accelerated radio interferometric calibration program

Big data
GPU
High performance computing

C
C++
Cuda
+ 5

184

spec2vec

spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.

Machine learning
Text analysis & natural language processing

Python
Batchfile
Makefile

182

vqls-prototype

Variational Quantum Linear Solver Library.

Numerical analysis
Quantum Computing

Python

178

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

128

NNPDF

Fitting proton substructure to observation data using neural networks

Machine learning
PDF

Python
Jupyter Notebook
C
+ 5

123

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
C

123

BridgeDb Java

Java library for identifier mapping

Data
persistent identifiers

Java
Perl
Shell
+ 5

117

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

116

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

MS2DeepScore

Deep learning based similarity measure of mass spectrometry data.

Jupyter Notebook
Python

116

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

105

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

104