Continuously tempered Hamiltonian Monte Carlo
MIT License
Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
Princeton astro grad seminar on statistical methods
An introduction to netcdf files in R, python, and matlab
Machine learning and phylogenetics on HIV
discrepancy-based-active-learning
Self-tuning HMC algorithms and evaluations
Material for Data analysis and machine learning in Jupyter
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🪜 Bayesian Hierarchical Models at Scale
Exercise material for the AlgoSB machine learning winter school in Marseille (France) 2021
A short tutorial for data scientists on how to write tests for code + data.
Essay on Hamiltonian Monte Carlo in PyMC3