Welcome to the AI Assets Catalog! Here you can browse, search and download all the assets currently indexed in the AI-on-Demand platform, including AI libraries, datasets, containers, and more. You are welcome to publish your own AI assets here! To do so, log in in to the platform, go to your dashboard and use the Submit new content button to access the submission forms.
Scheduling for Accelerated Devices
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...
Secure Generative Data Exchange (SGDE)
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.
Privacy Preserving Component
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...
POPNAS (Models Architecture Search)
Pareto Optimal Progressive Neural Network Architecture Search tool
Performance Models
Performance Models support the AI-SPRINT design and runtime components in selecting an appropriate configuration
SPACE4AI-D
A Design-time Tool for AI applications Resource Selection in Computing Continua
Federated Learning
The application contained in this folder creates an AI model using Federeated Learning. Unlike other applications, which have a centralized training dataset, this version pursues training the model using multiple datasets hosted in different institutions ...
PyCOMPSs and dislib
Transparent parallelisation of user code and seamless execution of the same code on different backends from the edge to the cloud and HPC clusters.
Weather rerouting decision support model
A lightweight AI rerouting decision model that helps to determine whether running weather routing is beneficial. The goal of the model is to help minimize the high computational workload demanded by a commercial weather routing system that performs freque...