A general framework for cascade correlation architectures in Python with wrappers to keras, tensorflow and sklearn

the growth of online social groups, empirical analysis and complex networks modelling

This is a repetition of my Network's project (which I wrote in C++) but this time written in Rust. It implements a growing network with uniform probability distribution for new node connections as well as a growing network with a probability kernel proportional to the number of neighbours each vertex has (k).