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Genetic Programming¶

In artificial intelligence, genetic programming (GP) is a technique of evolving programs, starting from a population of unfit (usually random) programs, fit for a particular task by applying operations analogous to natural genetic processes to the population of programs. It is essentially a heuristic search technique often described as 'hill climbing', i.e. searching for an optimal or at least suitable program among the space of all programs (from wikipedia). more

Epidemic Spreading Models on Complex Network¶

SI,SIS and SIRS models
(S Susceptible ), (I Infected), (R Removed)
C++ package link.

HH Neural Model on Complex Network¶

C++ package link.

Izhikevich Neural Model on ER Network¶

python code
link.

Izhikevich Neural Model¶

Class for simulating izhikevich model on complex networks
python code link.
Izhikevich Neural Model reference

2D Random Walk¶

python code link.