Interactive roadmaps, guides and other educational content to help developers grow in their careers.

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.