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This package is a collection of useful classes for basic Bayesian inference. Currently, its main goal is to be a tool for learning and exploration of Bayesian probabilistic calculations. Currently it also includes subpackages for stochastic simulation tools which are not strictly related to ... [More]
NEWS26/3/09: SBML L2v4 version of the DSMTS is released MotivationStochastic simulation is a very important tool for Systems Biology modelling. However, it is difficult to check the correctness of a stochastic simulator, since any two realizations from a single model will typically be different. ... [More]
This project describes some python tools for that are (hopefully) useful in systems biology. pysbmlUnfortunately due time constraints, I could no long maintain this package. So I've I separated out some the components as stand alone libraries (see below). VisualiseSBMLVisualiseSBML is a ... [More]
Paquete pyhon para crear simulaciones de la dinámica de Glauber y de Kawasaki para el modelo de Ising en 2D. En el segundo caso, se enfatiza la observación de la emergencia de la gota de Wulff para un rango adecuado de parámetros del sistema.
Piggy Market Squeak is a stocks and shares financial quote trend alert Trading System and technical analysis software. Piggy Market Squeak is an Open Source software edited under GNU General Public License. Piggy Market Squeak provides advice to buy or sell stocks and shares using financial quote ... [More]
Methods for specifying and solving stochastic dynamic optimization problems in Python using methods such as dynamic programming (DP) and reinforcement learning (RL).
The developer was very bored in his high school Java class, so he started playing around with particle swarm optimization. The name similarity to pypso is accidental, and in fact pypso was the first choice name for this. Currently has big problems with local optima. Will be adding some features ... [More]