In this repository, we implement Targeted Meta-Learning (or Targeted Data-driven Regularization) architecture for training machine learning models with biased data.

This project is dedicated to accurately classify Alzheimer's disease into Demented, Non-demented and Converted Category.

Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring

Optimization of organic chemistry catalysts using the coevolution approach

Neural network for inverse regression problems