An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering
When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.
gnntf: A Flexible Deep Graph Neural Network Framework
This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.
CO2A – Contrastive Conditional domain Alignment
A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.
InDistill
InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.
Teachable Machine
This web-based tool is an easy way to create machine learning models for your sites, apps with no coding knowledge required.