

Moving Targets via AIDDL
A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language.
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.
A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language.
In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers.
An AI consultant to predict Crown Rot (CR) disease in bananas before shipment.
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...
The Relational Neural Machines framework is a generakl neuro-symbolic methodology to inject logic knowledge into a machine learner.
The Lyrics framework injects logic knowledge into a learner using Semantic Based Regularization
Optimisation of the design and operation of ship energy systems in terms of energy efficiency and lifecycle costs
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...