All software
TOPASopt
A toolkit for performing optimization with the TOPAS Monte Carlo simulation package. Includes tools for running simulations and analyzing results.
- Treatment Planning and dosimetry
- Batchfile
- Makefile
- PLSQL
- + 1
TREAMS
TREAMS is an open-source program to perform T-matrix-based scattering calculations for nanophotonic systems. It focuses on efficiently solving the interaction in 1D, 2D, and 3D lattices of complex unit cells using quickly convergent lattice sums. It also solves the interaction in finite clusters.
- Python
- Cython
- Makefile
TSMP
The Terrestrial Systems Modelling Platform (TSMP) is an open source framework implementing a scale-consistent, highly modular, massively parallel regional Earth system model. It represents transport and feedback processes of mass, energy and momentum across geo-ecosystem compartments and scales.
- Earth & Environment
- Fortran
- Shell
- C
- + 10
Verticox+
Verticox+ is a Cox proportional hazards algorithm for vertically distributed data. The solution is based on the Verticox algorithm from Dai et al., 2022. It has been adapted to be used within the Vantage6 framework.
- federated learning
- Java
- privacy preservation
- + 3
- Dockerfile
- Java
- Jinja
- + 4
Watts
WaTTS allows using any legacy service with federated identities, such as eduGain or google.
- AAI
- OIDC
- Token Translation
- Erlang
- HTML
- Elm
- + 6
Winnow
Confidence control and FDR estimation for de novo peptide sequencing
- Machine learning
- mass spectrometry
- python
- Dockerfile
- Makefile
- Python
- + 1
WRaINfo - An open source library for weather radar information
WRaINfo is a software for real-time weather radar data processing. It is specifically designed for X-band weather radars of FURUNO. The software was developed by Helmholtz Innovation Lab FERN.Lab (GFZ Potsdam) and is distributed under Apache 2.0 license.
- attenuation correction
- clutter detection
- precipitation estimation
- + 4
- Python
- Makefile
- Shell
XrayTIFF2h5
This repository provides a workflow to transform X-rays data originally stored in .TIFF format, into .h5. Overall, this makes the data more compressed and easier to process in machine learning pipelines, such as unsat.
- Optimized data handling
- Workflows
- Makefile
- Python