
Fairness-Aware ML Tutorial Series
This tutorial series offers a hands-on guide to fairness-aware machine learning that targets beginners in Fair-ML.
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.
This tutorial series offers a hands-on guide to fairness-aware machine learning that targets beginners in Fair-ML.
To boost interpretability with concept vectors, a reverse engineering approach automates concept identification by analyzing the latent space of deep neural networks using Singular Value Decomposition. This framework combines factorization, latent space c...
Jupyter notebook demonstrating usage of multivariate anomaly detection based on machine learning to process monitoring and detection of a suspicious state of a process.
This asset includes code forthe prediction of fuel consumption using AI regression models and time series forecasting techniques. The asset was developed in the context of H2020 VesselAI project
Using a unique dataset, comprising historical maritime data for different vessel voyages, including vessel type, voyage information and environmental factors, we employ decision trees, a number of regression, and artificial neural network algorithms for p...
The use of GPT3.5 to annotate frames (perspectives) in headlines on the anti-vaccine movement.
A novel progressive training algorithm for learning Graph Neural Networks with Differential Privacy guarantees
Jupyter Notebook providing the execution of a simulation of a given Grid2Op agent using the PowSyBl backend.
A toolkit for processing geospatial data, featuring an array of functions and workflows crucial for managing and analyzing information related to geospatial and terrain features. Developed by AMIGO s.r.l. for the ARIA project, part of the I-NERGY 2nd Ope...
A collection of Python methods intended as a practical tool for fetching and preprocessing data related to climate and weather conditions, useful in climate science studies. Developed by AMIGO s.r.l. for the ARIA project, part of the I-NERGY 2nd Open Cal...