This repository contains a tutorial on how to use hierarchical coarse-grained models and mutli-level Bayesian optimization for molecular discovery. Although the example system is quite simple, the ...

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Distributed optimization provides a framework for deriving distributed algorithms for a variety of multi-robot problems. This tutorial constitutes the first part of a two-part series on distributed ...