All software
LiSSA
LiSSA: A Framework for Generic Traceability Link Recovery In software development and maintenance, numerous artifacts such as requirements and code are produced. LiSSA aims to provide a generic solution for Traceability Link Recovery (TLR) by utilizing LLMs in combination with RAG techniques.
- Information Retrieval
- Large Language Model (LLM)
- Retrieval Augmented Generation (RAG)
- + 1
- Java
- Python
Reflectorch
Reflectorch is a Python package for the analysis of X-ray and neutron reflectivity data using Pytorch-based neural networks. It provides fast simulation of reflectometry curves by GPU, parameterization via YAML configuration files, and prior-aware training.
- Machine learning
- neutron
- open source
- + 3
- Python
- TeX
- Dockerfile
DL4PuDe
DL4PuDe is an AI-based framework that automatically detects pushing behavior in crowd videos, leading to a better understanding of pushing dynamics. This knowledge is crucial for better crowd management strategies and better design of public places, making public places more comfortable and safer.
- Artificial Intelligence
- Crowd Management
- Deep Learning
- + 3
- Jupyter Notebook
- Python
- Cuda
- + 2
EuLerian Identification of ascending AirStreams - ELIAS 2.0
The ELIAS 2.0 software allows the identification of the footprints of rapidly ascending air streams in the atmosphere at substantially reduced computational costs compared to a conventional trajectory approach.
- Atmospheric science
- Earth & Environment
- Machine learning
- + 1
- Python
- Jupyter Notebook
HELIPORT
The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.
- data managment
- Earth & Environment
- Energy
- + 10
- Python
- HTML
- JavaScript
- + 2
Kaapana
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.
- data managment
- Federated Learning
- Image processing
- + 2
- Python
- Vue
- Shell
- + 14
deus
Damage and Exposure Update Service
- Earth & Environment
- Geohazards
- Python
- Shell
- Dockerfile
FairMQ
FairMQ is designed to help implement large-scale data processing workflows needed in next-generation particle physics experiments.
- framework
- Matter
- workflow library
- C++
- CMake
- C
- + 2
FAME
FAME is the open Framework for distributed Agent-based Modelling of Energy systems. Its purpose is supporting the rapid development and fast execution of complex agent-based energy system simulations.
- Agent-based Model
- framework
- Java
- + 2
- Python
- BibTeX
Ideal-Equilibrium-Oxygen-Membrane-Reactor
The Python script OMR_model.py allows to simulate oxygen membrane reactors with continuous gas flow rates.
- Energy
- Membrane reactor
- MTET
- + 3
- Python
AutoGaitA
AutoGaitA simplifies, accelerates, and standardises gait analyses after body posture tracking with deep learning algorithms in Python.
- biology
- Gait
- Locomotion
- + 3
- Python
AutoPV
Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
- Energy
- Ensemble
- ESD
- + 4
- Python