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This repository has moved to https://github.com/marcelrobeer/text_explainability. Documentation is available at https://text-explainability.readthedocs.io. A generic explainability architecture for explaining text machine learning models.

This service routes incoming query requests to query executor services with the required query language and database code running. It also allows for the retrieval of cached query results, which can be requested from the frontend. In the future we envision this service as a more advanced load balancer, as RabbitMQ only has round robin load balancing, which does not work if requests take arbitrary amounts of time.

The request handler takes requests from the client, validates it and then produces it to the correct queue.

This repository has moved to https://github.com/marcelrobeer/explabox. Documentation is available at https://explabox.readthedocs.io. Explore/examine/explain/expose your model with the explabox!

EDSL for constructing Petri Nets

Use any lat-lon mapped data to create a dodecahedron globe