Krake [ˈkʀaːkə] is an orchestrator engine for containerized and virtualized workloads across distributed and heterogeneous cloud platforms read more of Krake

Service for the complete orchestration of virtual infrastructures and applications deployed on it, including resource provisioning, deployment, configuration, re-configuration, and termination. read more of IM (Infrastructure Manager)

Serverless Container-aware ARchitectures (e.g. Docker in AWS Lambda) read more of SCAR

Open Source Serverless Computing for Data-Processing Applications read more of OSCAR

The GPU Scheduler tool determines the best scheduling and GPU allocation for Deep Learning training jobs, reducing energy and execution costs (in both private or public clouds) while meeting deadline constraints. The tool only requires the list of submit... read more of Scheduling for Accelerated Devices

The Secure Generative Data Exchange (SGDE) is a Python application that allows users to train, upload, and download generative models to and from a server. read more of Secure Generative Data Exchange (SGDE)

The Privacy Preserving Component offered by AI-SPRINT facilitates the training of image classification neural networks with assured privacy protections. It also tests the robustness of these models against prevalent attacks on deep learning systems. Depen... read more of Privacy Preserving Component

Pareto Optimal Progressive Neural Network Architecture Search tool read more of POPNAS (Models Architecture Search)

Performance Models support the AI-SPRINT design and runtime components in selecting an appropriate configuration read more of Performance Models

This library lists the outcomes of our research on video summarization and explainable AI-based summarization. read more of Explainable Video Summarization