Patrick Bos
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
- Python
Netherlands eScience Center Python Template
Generic template for Python packages, so you can spend less time setting up and configuring, and comply with the Netherlands eScience Center Software Development Guide from the start.
- software development tools
- software sustainability
- template
- Jinja
- Python
- Shell
Via Appia Visualization
A web application which visualizes the point clouds and additional data gathered in the Via Appia project with WebGL.
- Visualization
- JavaScript
- HTML
- CSS
mcfly
Helps you find a suitable neural network configuration for deep learning on time series.
- auto-ml
- deep learning
- Machine learning
- + 1
- JavaScript
- Python
- CSS
- + 1
DIANNA
Deep Insight And Neural Network Analysis, DIANNA is the only Explainable AI, XAI library for scientists supporting Open Neural Network Exchange, ONNX - the de facto standard models format.
- Explainable AI
- Image processing
- Machine learning
- + 2
- Jupyter Notebook
- Python
- TeX
Cross-perspective Topic Modeling
An application that uses cross-perspective topic modeling to extract topics and opinions from text and provides insight into how they change over time.
- Text analysis & natural language processing
- Python
- Jupyter Notebook
- Shell
Distance explainer
Explainable AI tool for explaining models that create embeddings.
- Embedded spaces
- XAI
- Python
- Jupyter Notebook
- Shell
Explainable embeddings
Experiments with regard to explanation of embedded spaces and multi modal models.
- DIANNA
- Embedded spaces
- Explainable AI
- Jupyter Notebook
- Python
- HTML
- + 1
Hadrianus scripts
Scripts that transform cultural heritage relational databases into linked data by using cultural heritage ontologies.
- Inter-operability & linked data
- Shell
- Perl
- Python