Netherlands eScience Center
National platform for the development and application of domain overarching software and methods for the scientific community
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
i-VRESSE jupyterlab haddock3 configurator
Jupter Lab extension to create/edit haddock3 configuration file.
- Inter-operability & linked data
- CSS
- JavaScript
- Python
- + 1
i-VRESSE workflow-builder
Need to write a complex config file then the i-VRESSE workflow builder might be the tool for you.
- Workflow technologies
- CSS
- HTML
- JavaScript
- + 3
jaspKinematics
A trajectory analyzer for JASP
- Biology
- kinematics
- Physics
- QML
- R
JASP modules app
A web application that allows you to search/filter all the available JASP modules and install them.
- CSS
- HTML
- TypeScript
jaspModuleTemplate
Template to create a JASP module.
- Data Analysis
- Statistics
- QML
- R
jaspProcess
A JASP implementation of the PROCESS macro for SPSS
- Data Analysis
- Statistics
- Visualization
- QML
- R
JupyterDaskOnSLURM
A Dask cluster and a Jupyter server on a SLURM system
- Big data
- High performance computing
- jupyter notebooks
- + 1
- Python
- Shell
JupyterLab dataset browser for THREDDS
A browser that allows you to include NetCDF data stored in THREDDS catalog into a Jupyter Notebook.
- Big data
- Optimized data handling
- CSS
- JavaScript
- Jupyter Notebook
- + 2
Kernel Float
C++ Header-only library for CUDA that simplifies working with vector types and reduced precision floating-point arithmetic in GPU code.
- AI
- Big data
- GPU
- + 1
- C
- C++
- CMake
- + 3
Kernel Launcher
Dynamically compile GPU kernels and launch them easily and safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast CUDA code that is maintainable and performance portable.
- auto-tuning
- CUDA
- GPU
- + 2
- C
- C++
- CMake
- + 3
Kernel Tuner
Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.
- Big data
- GPU
- High performance computing
- + 3
- Cuda
- Julia
- Python