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Introduction
Introduction to Work Environment
Day 1
Basics of Machine Learning
Day 2
Unsupervised Machine Learning
Day 3
Convolutional Neural Networks
Convolutional Filter
Neural Networks
Convolutional Graph Networks
Day 4
MACE in Practice I
MACE in Practice II
Nudge elastic bands with MLIPS
Day 5
Autoencoders, Variational Autoencoders and Conditional Varaiational Autoencoders
Autoregressive LLMs for Crystal Structure Generation
Crystal Generation using Diffusion Models
Compare structure energies
A Minimal Diffusion Model from Scratch
Repository
Open issue
Index
