stuhlmueller/mcnets
Adaptive Markov chain networks
Discovered public repositories for stuhlmueller in the GitHub catalog.
Adaptive Markov chain networks
Learning stochastic inverses for amortized inference in Bayesian networks.
A tiny library for rejection query inference in Python.
My research-related IPython notebooks.
Basic Python implementation of the Church MCMC algorithm.
A Scheme library wrapper for various Church inference engines.
An interactive environment for probabilistic programming.
Experimental Church implementation that cleanly separates inference and evaluation.
Scheme syntax highlighting for the LaTeX listings package.
A Church implementation that compiles to Javascript.
Code snippets used in more than one Python project.
A tiny framework for solving simple multi-agent games.
Dynamic programming inference by continuation hashing.
Code snippets used in more than one Scheme project.
Compilation of probabilistic programs to Bayes nets.
Continuation-passing style and closure conversion transforms for r6rs scheme.
Invent abstract functions using anti-unification.