Projects tagged ‘neural_network’

The Open Cognition Framework (OpenCog) is software for the collaborative development of safe and beneficial Artificial General Intelligence. OpenCog provides research scientists and software ... [More] developers with a common platform to build and share artificial intelligence programs. Programs written or adapted for OpenCog may be combined and used in concert with one another for experimentation or to achieve better results compared to their stand-alone counterparts. OpenCog is under active development, with the first release expected in 4Q-2008. [Less]

MARF is an open-source research platform and a collection of voice/sound/speech/text and natural language processing (NLP) algorithms written in Java and arranged into a modular and extensible ... [More] framework facilitating addition of new algorithms. MARF can run distributedly over the network and may act as a library in applications or be used as a source for learning and extension. [Less]

The dANN project is a library to help facilitate artificial neural networks within other applications. It is currently written in Java, C++, and C#. However only the java version is currently in ... [More] active development. If you want to obtain a version other than the java version you will need to get it directly from SVN. Our intentions are two fold. First, to provide a powerful interface for programs to include conventional artificial neural network technology into their code. Second, To act as a testing ground for research and development of new AI concepts. We provide new AI technology we have developed, and the latest algorithms already on the market. In the spirit of modular programming the library also provides access to the primitive components giving you greater control. [Less]

The NNFW project is a set of C++ classes for creating an huge variety of neural networks. The framework is structured in different levels in order to provides various interfaces for quick-easy ... [More] utilization and deeply-expert utilization, from newbie to masters: 1. at low-level it's possibile to act completly free for building complex architecture; from this level expert-users can contribute to NNFW adding new functionalities; 2. at mid-level there are classes for quick-creation of common neural networks as multilayer feedforward, Elmann networks, Radial-basis network and so on; 3. the possibility to represent a neural network with XML files allow an abstract and general way for accessing to all functionality of NNFW, also to the contribution of expert users; [Less]

AI4R is a collection of ruby algorithms implementations, covering several Artificial intelligence fields, and simple practical examples using them.

The Java Data Mining Package (JDMP) is an open source Java library for data analysis and machine learning. It facilitates the access to data sources and machine learning algorithms (e.g. ... [More] clustering, regression, classification, graphical models, optimization) and provides visualization modules. It includes a matrix library for storing and processing any kind of data, with the ability to handle very large matrices even when they do not fit into memory. Import and export interfaces are provided for JDBC data bases, TXT, CSV, Excel, Matlab, Latex, MTX, HTML, WAV, BMP and other file formats. JDMP provides a number of algorithms and tools, but also interfaces to other machine learning and data mining packages (Weka, LibSVM, Mallet, Lucene, Octave). [Less]

Fast Artificial Neural Network Library (FANN) implements multilayer artificial neural networks in C. It is cross-platform, easy to use, versatile, well documented and fast. C++, PHP, PERL, Python ... [More] , Delphi, .NET, Mathematica bindings and a GUI is available [Less]

Libgann is a artificial neural network library implemented in C++.

nnsched is a kernel patch and accompanying userland tools which allow you to schedule processes under NetBSD using a neural network scheduler.