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.

CellDetection

An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.

SpatialData framework

SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.

ESMValCore

JEMRIS

JEMRIS is a versatile, open-source, multi-purpose MRI simulator. It is well-suited for research and education.

ETHOS.GLAES

GLAES is a framework for conducting land eligibility analyses and is designed to easily incorporate disparate geospatial information from a variety of sources into a unified solution.

VarFish

VarFish is a user-friendly web application for the quality control, filtering, prioritization, analysis, and user-based annotation of DNA variant data with a focus on rare disease genetics. It is capable of processing variant call files with single or multiple samples. ...

Aviator

Aviator is a web service facilitating easy surveillance of scientific online tools. It currently checks more than 13,000 websites twice a day for availability and saves numerous features (response time, RAM usage security certificates, analytic tools / trackers, etc.) in a FAIR data repository.

FatSegNet

A fully automated deep learning pipeline for adipose tissue (visceral and subcutaneous) segmentation on abdominal Dixon MRI.

Album

Album is open-source infrastructure for building executable digital libraries of reusable, discoverable, and reproducible scientific software methods.

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

LiberTEM

LiberTEM is an open source platform for high-throughput distributed processing of large-scale binary data sets and live data streams using a stream-based programming model. The current focus is pixelated scanning transmission electron microscopy (4DSTEM) and scanning electron beam diffraction data.