A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language. read more of Moving Targets via AIDDL

In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers. read more of Deep Micro-Dictionary Learning and Coding Network

An AI consultant to predict Crown Rot (CR) disease in bananas before shipment. read more of Dimetra.eu: Banana Crown Rot Predictor

Robot-agnostic online coordination for multiple robots read more of coordination_oru

A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local... read more of Neighborhood Contrastive Learning for Novel Class Discovery

The Relational Neural Machines framework is a generakl neuro-symbolic methodology to inject logic knowledge into a machine learner. read more of Relational Neural Machines

Graph Neural Networks on Native Java read more of JGNN

A Python library to embed ML models in declarative optimization models read more of EMLlib

The Lyrics framework injects logic knowledge into a learner using Semantic Based Regularization read more of Lyrics

Optimisation of the design and operation of ship energy systems in terms of energy efficiency and lifecycle costs read more of Ship energy system design optimisation

AI Domain Definition Language (AIDDL) and libraries for fast prototyping of integrated AI systems read more of AIDDL

As the backward algorithm of SVD is prone to have numerical instability, we implement a variety of end-to-end SVD methods by manipulating the backward algortihms in this repository. They include: - SVD-Pad'e: use Pad'e approximants to closely approximate... read more of Differentiable SVD