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Parasol is a pythonframework in which mathematical models can be investigated parametrically. It enables easy optimization, sensitivity study, and visualization. Output is in plain text, HTML, and Microsoft Suite files (Excel, Word and PowerPoint).
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
TAROT is a easy-to-use framework for Monte Carlo simulations in python. Calculations between different kinds of randomly distributed numbers are made as easy as basic arithmetics. Tarot provides an interactive graphical interface for interpretation.
edef - A small simulation framework for logic circuits, autoregressive processes, digital controller circuits and many more. Also there is a GUI application, that integrates a simple development environment and a circuit editor.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
A platform independent framework to remote control Lego Mindstorms NXT from Python.
Using PyBluez http://org.csail.mit.edu/pybluez/ for Bluetooth connectivity and wxPython http://www.wxpython.org/ for UI.
The goal of this project is to develop a generic and powerful 3D simulation framework mainly but not exclusively targeted at game development. Important aspects are efficency and simplicity of use.
A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.
Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.
PyExp is a Pythonframework to develop programs driving physical experiments, dealing with Physical Elements in the high layer and translating this into actions on devices or groups of devices on the low layer.
The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.
A python library for handling and analyzing biological sequence annotations as described in GFF files (General Feature Format). The library is intended to be a complete framework for this file format.
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
A Genetic Algorithm Training System in Python.
Gatspy provides the framework, the user provides the error
(fitness) function. Gatspy will evolve a solution that
attempts to minimize the error.
The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).