ADR Awareness Centre

In this paper, the authors propose a lightweight neural network architecture that extracts and performs the analysis of multimodal information using the same audio and visual networks across multiple temporal segments.

This repository provides a framework for easy experimentation with Graph Neural Network (GNN) architectures by separating them from predictive components.

A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

pygrank is an open source framework to define, run and evaluate node ranking algorithms.

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.

This web-based tool is an easy way to create machine learning models for your sites, apps with no coding knowledge required.