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The aim of GUINNEA (Graphical User Interfaced Neural Network Architecture) is to develop a comfortable and high-featured neural net simulator which is highly configurable and flexible. It will support many neural nets and visualization features for those
G3C provides the main features for 3D-game developers: 3D rendering engine based on openGL, collision detection, physical rules, p2p network... A game-sample will be avaible, binding a wargame, a flight simulator, a first person shooter, a MMOG...
RooCARDS is a set of C++ classes written for the ROOT analysis framework
which interface ROOT to the Stuttgart Neural NetworkSimulator (SNNS). This
interface is based on a concept originally developed by Professor Yibin Pan
at the UW-Madison.
LiNNS is not just a Neural NetworkSimulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.
GraphScript project is a network theory simulator based purely on Java and Java scripting engines.
It is intended to allow fast development, testing and visualization of network theory (graph) algorithms.