A curated list of awesome network analysis resources.

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

Machine Learning algorithms for spatial and spatiotemporal data

Implements methods from Krause et al. (2008)

Implementations of Gaussian Process Regression Hyper-Parameter Optimization Using Cross-Validation and Non-linearly Constrained ADMM