All software

Materials Learning Algorithms

MALA (Materials Learning Algorithms) is a data-driven framework to accelerate electronic structure calculations based on machine learning. Its purpose is to construct neural-network surrogate models for bypassing computationally expensive steps in state-of-the-art density functional simulations.

ESMValCore

Scholia

Graphical User Interface around Wikidata that uses SPARQL to collect data

matchms

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

rGREAT

GREAT is a type of functional enrichment analysis directly performed on genomic regions. This package implements the GREAT algorithm, also it supports directly interacting with the GREAT web service (the online GREAT analysis). Both analysis can be viewed by a Shiny application.

RiboDetector

RiboDetector is designed to rapidly and accurately detect rRNA sequences from metagenomic, metatranscriptomic, and ncRNA sequencing data. It has been optimized for use with both CPUs and GPUs. It outperforms existing software by delivering 10-50x faster runtime and ~10x fewer false classifications.

hybridMT

The hybridMT is MATLAB/shell environment software package for the seismic moment tensor inversion in time domain. The package allows to estimate fault plane parameters and the balance between volumetric and non-volumetric strain in the seismic source using different decomposition schemes.

splithalfr

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

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.

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.

BlenderProc

A procedural Blender pipeline for photorealistic training image generation

DeepRank

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