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.
- Density functional theory
- electronic structure
- machine-learning
- + 2
- Python
- Fortran
- Shell
- + 1
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.
- cell counting
- cell detection
- cell segmentation
- + 9
- Python
- Dockerfile
SpatialData framework
SpatialData is an open and interoperable data framework for ingesting, representing, processing and visualizing spatial omics datasets.
- Data Visualization
- FAIR Data
- Multi omics
- + 3
- Python
- Dockerfile
ESMValCore
- Data analysis
- Earth & Environment
- FAIR Software
- + 2
- Python
- Jupyter Notebook
- HTML
- + 4
JEMRIS
JEMRIS is a versatile, open-source, multi-purpose MRI simulator. It is well-suited for research and education.
- MRI
- Simulation
- C++
- Python
- MATLAB
- + 5
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.
- ESD
- ESD - Topic 1
- Python
- Batchfile
- Shell
- + 1
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. ...
- Annotation
- Data analysis
- Health
- + 1
- Python
- Vue
- TypeScript
- + 9
NetworKit
NetworKit is a growing open-source toolkit for large-scale network analysis. Its aim is to provide tools for the analysis of large networks in the size range from thousands to billions of edges. It implements efficient graph algorithms, many of them parallel to utilize multicore architectures.
- algorithm engineering
- Graph algorithms
- Network Analysis
- C++
- Cython
- Python
- + 9
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.
- Data Visualization
- FAIR Data
- FAIR Software
- + 8
- Python
- HTML
- JavaScript
- + 5
FatSegNet
A fully automated deep learning pipeline for adipose tissue (visceral and subcutaneous) segmentation on abdominal Dixon MRI.
- Data analysis
- MRI
- open source
- Python
- Dockerfile
- Shell
Album
Album is open-source infrastructure for building executable digital libraries of reusable, discoverable, and reproducible scientific software methods.
- FAIR Software
- GUI
- Interactivity
- + 5
- Python
- Dockerfile
- Shell
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.
- CPU
- Data analysis
- Earth & Environment
- + 5
- Python
- Shell
- Dockerfile