All software
iScore
A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.
- Big data
- Machine learning
- Protein-Protein Interaction
- C++
- Cuda
- Makefile
- + 1
Twiqs
Software behind the web server twiqs.nl, which has provided free access to statistics about Dutch tweets since 2010
- Big data
- Text analysis & natural language processing
- Visualization
- HTML
- Java
- JavaScript
- + 3
Vantage6
An open-source platform for supporting the development of federated learning projects
- federated learning
- healthcare
- privacy preserving analysis
- + 1
- Dockerfile
- Go Template
- HTML
- + 7
CorticalSim
Fast simulation of plant cortical microtubules.
- C
- C++
- Makefile
- + 3
InstaNovo
InstaNovo is a transformer neural network with the ability to translate fragment ion peaks into the sequence of amino acids that make up the studied peptide(s). InstaNovo+ is a multinomial diffusion model that further improves performance by iterative refinement of predicted sequences.
- deep learning
- Machine learning
- mass spectrometry
- + 1
- Makefile
- Python
Research Software Directory
A content management system for research software, which promotes the visibility, reuse, and impact of research software.
- FAIR
- Research Software Impact
- Software Citation
- CSS
- Dockerfile
- Go
- + 9
HyperCanny
Finds edges in high-dimensional data using the Canny algorithm.
- Data Analysis
- edge detection
- High performance computing
- C
- C++
- Makefile
- + 3
Inseq
Interpretability for sequence generation models 🐛 🔍
- deep learning
- Explainable AI
- generative models
- + 2
- Dockerfile
- Makefile
- Python
MUSCLE3
MUSCLE3 is a coupling library for building multiscale simulations out of single-scale models.
- High performance computing
- Multi-scale & multi model simulations
- C
- C++
- Dockerfile
- + 4
OMUSE
A Python environment to interface and couple oceanographic and other earth system model codes.
- High performance computing
- Multi-scale & multi model simulations
- Batchfile
- C
- C++
- + 10
DoE2Vec
DoE2Vec is a self-supervised approach to learn exploratory landscape analysis features from design of experiments. The model can be used for downstream meta-learning tasks such as learninig which optimizer works best on a given optimization landscape.
- Machine learning
- optimization
- python
- Makefile
- Python
- R
LinkAhead
Open Source Research Data Management Software
- Data
- Electronic Lab Notebook
- ETL
- + 9
- ANTLR
- C++
- CSS
- + 9