All software

CoMOLA

CoMOLA is a python tool for optimal spatial allocation of land uses. The tool creates optimal land-use maps for up to four objectives. It takes into account constraints and can be coupled with external models to evaluate different objectives (e.g. ecosystem services/biodiversity models)

FlexiGIS

FlexiGIS is a software tool for processing and analysing GIS-based data to design urban energy systems. Models developed with FlexiGIS enable the exploration and assessment of flexibility options in cities.

AMIRIS

AMIRIS is the open Agent-based Market model for the Investigation of Renewable and Integrated energy Systems. It aims at enabling scientists to dissect the complex questions arising with respect to future energy markets, their market design, and energy-related policy instruments.

GSTools

GSTools is a Python-based software suite for solving a wide range of geostatistical problems. GSTools provides methods for generating different classes of correlated random fields; it can perform kriging, variogram estimation and much more.

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.

pycomlink

A python toolbox for deriving rainfall information from commercial microwave link (CML) data.

GOLEM

GOLEM is a modelling platform for thermal-hydraulic-mechanical and non-reactive chemical processes in fractured and faulted porous media, based on the MOOSE framework

ESMValCore

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.

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.

SpatialData framework

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

BlenderProc

A procedural Blender pipeline for photorealistic training image generation