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Hybrid Computational Offloading
Experiences and lessons learned regarding scaling a computational offloading architecture in the cloud
Initial repository for the practice sessions of the Distributed Systems course at the University of Tartu.
Initial repository for the practice sessions of the Distributed Systems course at the University of Tartu.
Collection of example projects from the previous course edition, to be used as reference
The xAI methods (LIME, SHAP, Occlusion Sensivity) are provided as microservices which is accessible by FastAPI (REST API).
This project provides an automated way to deploy Kong (an API gateway) along with its dependencies using Ansible and Docker Compose. The deployment includes the Kong service, a PostgreSQL database, and Konga, a web-based GUI for managing and monitoring Kong.
To assess whether a model is predicting the desirable outcome equally well for all values of a sensitive attribute.
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