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UPDATE:
The latest version of NNScore1 can be found here: http://git.durrantlab.com/jdurrant/nnscore1
The latest version of NNScore2 can be found here: http://git.durrantlab.com/jdurrant/nnscore2
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NNScore is a scoring function for characterizing the potency of receptor-ligand complexes. It is based on neural networks, computational models that simulate the microscopic organization of the brain.
The main intention of this project is to support the SNNS (Stuttgart Neural Net Simulator) with patches, bugfixes, tools and add on developments. Second target is to publish useful links and information about the SNNS.
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.
This is a c-library that provides tools for advanced
analysis of electrophysiological data. It features
denoising, unsupervised classification, time-frequency
analysis, phase-space analysis, neural networks, time-warping and
more.
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PCSIM is a tool for distributed simulation of heterogeneous networks composed of different model neurons and synapses. The development of PCSIM was supported by the FACETS EU project.
ptsa (pronounced pizza) stands for Python Time Series Analysis. A python module specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), but applicable to almost any type of time series.
Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
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A three-step approach towards experimental brain-computer-interfaces, based on the OCZ nia device for EEG-data acquisition and artificial neural networks for signal-interpretation.
A character recognition software using a Back Propagation Algorithm for a 2-layered Feed Forward Non-Linear Neural Network. Written in Python, Graphics done using Pygame.
Thank you for your interest in Speedy Composer. Speedy Composer is an automated application for composing melodies for Speedy Net members. We recently made changes to the source code of Speedy Net, and converted it into the Python language and Django framework. Since Speedy Composer was originally written in PHP, it is not adapted to work with Speedy Net in its current form. So unfortunately we were forced to temporarily close the app Speedy Composer. But don't worry, we kept backups of all...
Brainiac, Is C/C++ Libraries, Programs, And Python, And Lua Scripts For Neural Networking And Genetic Programming, In An Attempt To Create A "Glue-It-All-Together" Project, Striving Towards General Artificial Intelligence
Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
PolyPlanet is an evolutionary playground inspired by Polyworld. It uses genetic algorithms to evolve the world and its inhabitants. Current inhabitants include PolyPlants, PolyTrees, and PolyDudes that have neural network brains which also evolve.
Aureservoir is an open-source C++ library for analog reservoir computing neural networks (echo state networks) with bindings to various scientific computing packages.
Artificial Intelligence program - keyword based chat, personal voice in/out, animated 3D character, natural language recognition and translation, neural network based strong AI, personality, tone recognition
AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
A small 3d engine for making virtual characters. Includes a simple GUI interface for building a character with physics and procedural animation using neural networks. Developers can use the engine library to make simple games or to run simulations.
We experiment with Evolution of Artifical Neural Networks, combining the two fields of Evolutionary Computation and ANNs. Our methods are applied to a variety of interesting problems. To learn more, click on "Home Page", "Mail", or "Files".
The Freeway Traffic Smoothing Neural Network program uses a neural network to smooth freeway traffic by sensing average freeway traffic speeds at various points along a freeway and adjusting the settings of variable speed limit signs accordingly.