Physics-centric Boltzmann machine implementation (under active development)
Supports recurrent (Hopfield) and feed-forward network topologies (RBM)
Updated asynchronously.
Supports simulated annealing (physics-centric implementation lends itself to this naturally)
In the works:
-Minimum Probability Flow learning
-Class for managing and constructing networks
-Swendsen-Wang sampling