Uses second-order Predictor-Corrector Linear Multistep Method for solving non-stiff systems of ODEs. Includes support for adaptive timesteps and polynomial interpolation of the solution at specified times.

Second-order ADI solver for N coupled reaction-diffusion equations in 2 dimensions. Examples are included for solving the Gray-Scott and FitzHugh-Nagumo equations.

Implementation of linear and logistic regression, and regression neural networks using only Numpy and standard Python libraries.

Fast, flexible, Python-integrated simulation of biophysical neural networks with complex plastic synapses. Uses spreadsheet-based parameter organization to specify equations of motion. Uses the NEURON simulator engine for network construction and ODE integration.

Solves the Poisson equation on an irregular domain on a Cartesian grid based on the methods from Gibou et al. (2002), J. Comp. Phys.