Skip to main content

Ctrl+K

Overview

A. Math Review

1. Tensors and Shapes

B. Machine Learning

2. Introduction to Machine Learning
3. Regression & Model Assessment
4. Classification
5. Kernel Learning

C. Deep Learning

6. Deep Learning Overview
7. Standard Layers
8. Graph Neural Networks
9. Input Data & Equivariances
10. Equivariant Neural Networks
11. Explaining Predictions
12. Attention Layers
13. Deep Learning on Sequences
14. Variational Autoencoder
15. Normalizing Flows
16. Modern Molecular NNs

D. Applications

17. Predicting DFT Energies with GNNs
18. Generative RNN in Browser

E. Contributed Chapters

19. Equivariant Neural Network for Predicting Trajectories
20. Pretraining

F. Appendix

21. Style Guide
22. Changelog

Repository
Open issue

Search

Ctrl+K

By Andrew D. White

© Copyright 2026.

thewhitelab.org