
NPFI
Non-Parametric Fisher Information from data
Non-Parametric Fisher Information (NPFI)
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.

JointPDF
Stochastic Variables and Information Theory in Python
Stochastic Variables and Information Theory in Python
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
A high-performance framework for dense cellular suspension flows
A high-performance framework for dense cellular suspension flows
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.