Search Results for "neural network simulator robot"
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Showing 32 open source projects for "neural network simulator robot"
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Powerful and versatile communications platform with automations and integrations made simple. So simple, you’ll have time for the other parts of your business.
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Streamline every stage of the development lifecycle with a flexible solution built for SxMD. Efficiently manage design controls from requirements to compliance with end-to-end traceability to mitigate risk.
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nxcEditor
Editor for NXT and BrickPi robot (with simulator for NXT)
With the nxcEditor for Linux NXT and BrickPi robots can be programmed (the source code is highlighted). A NXC-program can be executed either on the real robot or the nxcSimulator, which is integrated in the nxcEditor (the official compiler is invoked from the nxcEditor). A C-program for the BrickPi robot can be programmed either locally on the Raspberry Pi or over a network (using the compiler on the Raspberry Pi). The nxcEditor (as well as the nxcSimulator) is designed so that programming... -
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NeuralSyns
NeuralSyns is a neural simulator for large spiking networks.
NeuralSyns is a neural simulator for large spiking networks. New neuron and synapse dynamics can be added, and complex network models can be easily built using the included tool NetBuilder. OpenGL is used to show the network's architecture and activity. -
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NARX simulator with neural networks
A simulator for NARX ( Nonlinear AutoRegressive with eXogenous inputs)
This projects aims at creating a simulator for the NARX (Nonlinear AutoRegressive with eXogenous inputs ) architecture with neural networks. The system can fallback to MLP ( multi layer perceptron ), TDNN ( time delay neural network ), BPTT ( backpropagation through time ) and a full NARX architecture. The system is intended to be used as a time series forecaster for educational purposes. This projects is my personal master thesis developed at the Master of Artificial Intelligence... -
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LensOSX
LensOSX: the light, efficient network simulator
Lens is the light, efficient network simulator, written by Doug Rohde. LensOSX is a native MacOSX port of Lens that runs on MacOSX 10.5 or higher, created by Harm Brouwer, Daniel de Kok and Hartmut Fitz. -
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OSXtlearn
OSXtlearn: tlearn for MacOSX
tlearn is a backpropagation neural network simulator, written by Jeff Elman. xtlearn is a version of tlearn for the X Window System. OSXtlearn is xtlearn wrapped in a MacOSX application bundle that runs ons MacOSX 10.5 or higher and that requires XQuartz. OSXtlearn is created by Harm Brouwer. -
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GENESIS (GEneral NEural SImulation System) is a software platform for the simulation of neural systems ranging from subcellular components and biochemical reactions to complex models of single neurons, large networks, and systems-level processes.
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lobots is a robot simulator featuring 3D graphics using OpenGL and GLUT libraries. It provides a client/server model, supporting multiples robot clients remotely connected on a TCP/IP network.
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BPNNet
Backpropagation neural network simulator
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AHANNS
AHANNS - Amateur Homemade Artificial Neural Network Simulator
AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope -
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iSpike is a spiking neural interface between the iCub humanoid robot and a spiking neural simulator such as NeMo.The system aims to provide an interface for the iCub that provides as biologically realistic spike trains from its senses as possible.
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Fast flexible simulator of spiking neural networks. Easy to use graphical user interface with comprehensive monitoring facilities. Integrates with the NeMo CUDA simulator and the iSpike interface for the iCub robot.
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TK Neuron Simulator
A neural network simulator
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This Java software permits to control a real robot over a WiFi connection from one or more desktop client. Built in support for Pololu, Phidgets, SparkFun and any RS232 device. You can build and run your own robot by just editing a simple config file
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ETHNOS
ETHNOS - Expert Tribe in a Hybrid Network Operating System
The ETHNOS environment is composed of: 1) ETHNOS-6, a dedicated distributed real-time operating system (developed as an extension to Linux), from which the overall environment takes its name, supporting different high level representation, communication, and execution requirements, 2) a dedicated network protocol designed for both the single robot and the multi-robot environment, specifically designed for noisy wireless communication, 3) an object oriented Application Programming Interface... -
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NeMo is a high-performance spiking neural network simulator which simulates networks of Izhikevich neurons on CUDA-enabled GPUs. NeMo is a C++ class library, with additional interfaces for pure C, Python, and Matlab.
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The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover
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Automated e-commerce site. Includes DoD 479 documentation (i know its not the MOST up to date but neither am i). This is a Work in Progress!!! The Project posts its own code and documents as it sees fit.
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Todbot is an AI addon to the gamestool virtual machine. The aim is to create an evolving neural network topology that should be capable of creating the optimal topology and network weighting to solve any problem given it.
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Simple neural network(s) simulator. Moved as plugin under EDU Sand Box (https://sourceforge.net/projects/esbox/) project.
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The DAMNED simulator is a Distributed And Multithreaded Neural Event-Driven simulation framework designed for Distributed Discrete Event Simulations, actually well suited for Large Scale Spiking Neural Network simulations.
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A Java neural network simulator for a type of new spiking neuron model. More information will be available later.
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Cervelletto is a neural network simulator. It uses a new neural model based on biological, neurological and psychological studies. [it's not yet completed... just give me some weeks! sorry!]
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This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
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iSNS is an interactive neural network simulator written in Java/Java3D. The program is intended to be used in lessons of Neural Networks. The program was developed by students as the software project at Charles University in Prague.
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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