Neural Effects

Geeks Artificial Neural Network (G.A.N.N) is an open source project that started with the philosophy of being a new more advanced A.N.N that works as a platform for other applications. In other words, G.A.N.N should be considered as a 'Black Box'.

A library of 40+ picture effects (blur, sharpen, invert, and much more) for the REALbasic programming language. Language: REALbasic, Cross Platform

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.


Platforms: Windows, Mac, Linux

Program to performing the complete cycle of neural networks analysis: preparing data, choosing neural network (CasCor, MP, LogRegression, PNN), learning of network, monitoring learning state, ROC-analysis, optimization of network parameters using GA.


Platforms: Windows, Mac, Linux

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.


Platforms: Windows, Mac, Linux

Open source, fast and simple neural processing MATLAB scripts, functions and algorithms. File IO, spike detection, signal processing, seizure detection, closed loop. Functions are compatible with Blackrock Microsystems NEV and NSx files.


Platforms: Windows, Mac, Linux

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.


Platforms: Windows, Mac, Linux

SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.


Platforms: Windows, Mac, Linux

A professional video tool to turn any video of you into a work of art with Various video effects. ? 20 Included effects: Flip Vertically&Horizontally, Negate, Rotation, Smooth, Contrast, Gray, Brightness, Deinterlace, Cartoon, Equalize, Unsharp, Saturation, Gamma, Hue Shift, Distort, Black...


Platforms: Mac

Action Effects is a suite of 7 automated retouching Actions for Adobe Photoshop CS, Adobe Photoshop CS2 and Adobe Photoshop CS3. This suite has been conceived to drasticaly ease your photo enhancement. It will allow you to gain considerable time and obtain professional results in just a few...


Platforms: Adobe Photoshop CS, Adobe Photoshop CS2 or Adobe PhotoshopCS3

MoreIchatEffects is a collection of 56 effects for iChat and Photobooth. This effects are available for Intel processor. Some could be supported by PowerPC G4 or G5 in Photobooth or Ichat. Thanks to: qPatches effects (http://www.qarl.com/menu/qPatches/)


Platforms: Mac

WANT OVER 400 EFFECTS, CHECK OUT: http://itunes.apple.com/us/app/photo-effects/id412285846?mt=12 Over 42 visual effects. Lite version is fully functional. Easy to use. Just drag and drop your photo and select the eff


Platforms: Mac

Add CSS Effects to Ranks lets board owners add a little spice to the rank titles on their forums.After making a few simple file changes, you can add a new Cascading Style Sheet class to the forum's stylesheet for each rank. These CSS classes let you add many kinds of text effects, including bold,...


Platforms: Windows, *nix, PHP, BSD

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).This allows you to use a neural network model without relying on the neural network toolbox.Note I only implemented for feed forward nets (MLPs) and not all possible...


Platforms: Matlab

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


Platforms: Matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...


Platforms: Matlab

Character Recognition Using Neural NetworksSteps to use this GUI.1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press...


Platforms: Matlab

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image...


Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation...


Platforms: Matlab