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The breve Simulation Environment | breve

What is breve? breve is a free, open-source software package which makes it easy to build 3D simulations of multi-agent systems and artificial life. Using Python , or using a simple scripting language called steve , you can define the behaviors of agents in a 3D world and observe how they interact. breve includes physical simulation and collision detection so you can simulate realistic creatures, and an OpenGL display engine so you can visualize your simulated worlds . breve 2.7.2 fixes a crash during startup on Mac OS X, issues with the breveIDE for Windows and Linux, and a problem deleting objects in Python simulations. breve simulations are written in the popular Python language, or in an easy-to-use language called steve , which is object-oriented and borrows many features from languages such as C, SmallTalk and Objective C. Regardless of which language is used, users without previous programming experience will find it easy to jump in.
Open source data visualization and analysis for novice and experts. Data mining through visual programming or Python scripting. Components for machine learning. Add-ons for bioinformatics and text mining. Packed with features for data analytics. http://orange.biolab.si/

Orange

Fast Artificial Neural Network Library

http://leenissen.dk/fann/ Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets.
http://aima.cs.berkeley.edu/python/readme.html This file gives an overview of the Python code for the algorithms in the textbook AI: A Modern Approach . The code is Copyright (c) 2002 by Peter Norvig and is offered free of charge for your use . As you may know, the textbook presents algorithms in pseudo-code format; as a supplement we provide this Python code as well as Lisp code . The intent is to implement all the algorithms in both languages, so that you can choose whichever language you prefer. As yet neither implementation is complete, but the Lisp version is closer.

AIMA Python Code