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Lyrics Tutorial
Tutorial for the Lyrics framework, which provides a Python library to integrate learning from logic constraints and Deep learning models
Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.
Tutorial for the Lyrics framework, which provides a Python library to integrate learning from logic constraints and Deep learning models
The AI4CNC experiment is designed to develop a Federated Learning System Platform for CNC machines to estimate tool wear through AI models and secure data sharing. The main objective is to use data from TEKNOPAR's CNC machines and sensors to estimate tool...
A novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the challenging person image generation task.
AQQA was an AI4Copernicus micro-project, selected in the 5th round of open calls. It aimed to test a language-based interaction with air quality data by making use of linked geospatial data tools and the health bootstrapping service provided by the AI4Cop...
Datalog rewriter for defeasible multi-relational Contextualized Knowledge Repositories in OWL RL
Introducing ESFA (Empirical Season Forecast for Agriculture) – your reliable companion in long-term agricultural planning. Our validated AI algorithms, which outperform other state-of-the-art climate prediction models, are at the core of ESFA's capabiliti...
This is a tool for the implementation of dynamic CNN networks
A framework to train a generalizable model for unseen domains.
I-NERGY Transfer Learning Wizard is an application designed for novice data analysts to analyse energy data and develop machine learning (ML) models based on the Transfer Learning method.
We address multi-target domain adaptation (MTDA), where given one labeled source dataset and multiple unlabeled target datasets that differ in data distributions, the task is to learn a robust predictor for all the target domains. We identify two key aspe...
A repository with some of the models developed and trained for the AI4Hotels project.