The Annotated GP

This series of notebooks contains a tutorial on Gaussian Processes (GPs). We’ll cover the basics of GPs, the closely related Kernel Ridge Regression (KRR), sparse GPs (including Variational GPs), and GPs that fit derivatives.

If you found this useful, please cite our repository!

@misc{huang2024annotatedgp,
  author       = {Daniel Huang},
  title        = {The Annotated GP},
  year         = {2024},
  url          = {https://github.com/danehuang/annotated-gp},
  note         = {GitHub repository},
  howpublished = {\url{https://github.com/danehuang/annotated-gp}},
}