Samplers are easy once you know the basic moves

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1. Simplest simulation to use non-Exponential transitions

   Julia 9

2. Multiple Hilbert curve algorithms in two dimensions and N-dimensions in native Julia.

   Julia 24 2

3. Discrete stochastic simulation in continuous time

   Python

4. Forked from afidd/Semi-Markov

   A C++ library to specify and simulate trajectories from semi-Markov models.

   C++