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Neuroph is lightweight Java NeuralNetwork Framework which can be used to develop common neuralnetwork architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
ActiveFolder can be integrated with existed scientific computation.
Welcome to the ActiveFolder project, the open source for management simulataion data and reproducing. ActiveFolder provide data reproduction for comparative study and searching reproduction data, by storing data coupled with provenance information. ActiveFolder is integrated existed grid computing service and cloud services. And also, ActiveFolder can be integrated with existed scientific computation, analysis and visualization software without modification.
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.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Cervelletto is a neuralnetwork 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!]
iSNS is an interactive neuralnetwork 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.
Application of neuralnetwork to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).
LiNNS is not just a NeuralNetwork Simulator, but a NeuralNetwork System - a framework which covers the full lifecycle of a neuralnetwork, from design and research till usage in an external application.
It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial NeuralNetwork to build the experiment