This software package implements an algorithm to compute the Fisher Information matrix from non-parametric estimates of the underlying Probability Density Functions using a finite-difference scheme.

The Kilobot is a robot developed for swarm robotics research. Kilombo is a Kilobot swarm simulator, designed to run the same C-language user program as the real robots. This makes it easy to transfer a program between the simulator and the real robots. The simulator is also efficient - a simulation of 1000 robots can run 100 times faster than real time on a desktop computer.

This python module implements the notion of a "joint probability distribution" among discrete stochastic variables, as well as many common operations for them. Secondly, it implements many information-theoretical quantities such as Shannon entropy, mutual information, information synergy, information-based optimization procedures, and robustness tests.

HemoCell is a framework for simulating dense suspensions of deformable cells, focusing on blood. It is based on the combined Immersed boundary-lattice Boltzmann method (IB-LBM) and is built on top of the open source C++ lattice Boltzmann solver Palabos.