Explainable embeddings

Experiments with regard to explanation of embedded spaces and multi modal models.

2
contributors

What Explainable embeddings can do for you

Experiments to tune our explainable AI method in DIANNA. Our method explains what parts of a data item causes it to come closer to or move further from some other data item in the same embedded space.

Keywords
Programming languages
  • Jupyter Notebook 99%
  • Python 1%
License
</>Source code

Participating organisations

Netherlands eScience Center

Contributors

Contact person

CM

Christiaan Meijer

RSE
Netherlands eScience Center
Mail Christiaan
CM
Christiaan Meijer
RSE
Netherlands eScience Center

Related projects

DIANNA - Deep Insight and Neural Networks Analysis

Explainable AI tool for scientists

Updated 4 months ago
In progress

Explainable Embeddings

What is happening in your machine-learned embedded spaces?

Updated 2 weeks ago
Finished