Machine learning
GRU + SHAP - Explainable Predictive Maintenance for Irregular Multivariate Time Series
This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH...
Facebook Prophet + SHAP - Explainable Predictive Maintenance for Regular Multivariate Time Series
This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library.
Audio Deepfake Detection with GradCam Saliency Map Explainability
This app identifies whether an audio file is synthetic or real and uses GradCAM saliency maps to visualize the key audio features that influenced its classification.
University of Malta (UM)
Image Defect Detection Model Collection
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
Supervised Anomaly Detection Model Collection
Machine Learning and Deep Learning models to detect anomalies using time series data.
Data Quality Assurance
This module ensures that the data used for AI model operations respects some pre-defined quality criteria.