Search Results for "python neural network" - Page 16
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Showing 422 open source projects for "python neural network"
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SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
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This was once an engine targeted at online games. It has been succeeded by another project with the same goal: http://io-project.org
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pyDATR is an implementation of the DATR language written in Python and usable as Python library. It provides a means for persistence and some extensability with Python functions.
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An attempt at a Xanalogical Web, comprised of a CGI system with both native and HTML interfaces, a set of standards, a backend supporting Transclusion, versioning, and a custom browser with support for Transpointing and editing.
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Spam Scalpel is an open source spam intelligence engine. Spam Scalpel's main objective is to automate data collection and analysis for monitoring compliance with anti-spam laws.
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SfleX aims at developing a dynamic transaction processing architecture which is fully configurable at run-time. A Zope/Python based prototype is available. A Java version is under development. See http://sflex.ilab-tcs.com for details and download.
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MVCPython is a framework which automatically generates a MVC architecture (MVC= Model View Controller) just from Python Classes and Object defintions. MVCPython achieves this through a strong use of Python's introspection capability.
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Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.
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WebPython is a web-application development toolkit, written in Python. It contains a portable object-relational database layer, a Python-object persistence system and a templating engine, among other stuff.
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The CCC Language is yet another programming language. It is platform-independent, compact, and robust. Supports many SQL engines, has own ISAM DB engine, has terminal mode and more UI-s, is object-oriented, but it is compiled and not interpreted.
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A neural net module written in python. The aim of the project is to provide a large set of neural network types accessed by an API that is easy to use and powerful.
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Neural network libraries in many different languages compatible with each other, such that neural networks can be trained on one platform and utilised on another.
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Octopi is a tool for managing builds and promotes within a Software Development organization. It is designed to work together with other tools to form an efficient SCM System.
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This tool creates a PHP class to interface to a given database table. The PHP class is a simple relational object mapper. It maps table columns to class attributes. It provides basic CRUD methods as well as utility methods such as CSV import and export.
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Do you want a neural network OO class? With documentation? Do not go further... You found it! you have here a complete library of different neural network in an OO encapsulation. Starting from adaline, back propagation, Kohonen
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TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
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nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.
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reppy is a PDF-Report Generator for databases (MySQL, Postgres, CSV) written in Python. The report definition is based on an XML-template, which can be edited with the included program XTRed. It needs the python library reportlab for pdf-creation.
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eBarter froms trades from commitments. It measures economic values without the need of a common value standard; distributes fairly the gain produced between participants and gives the preference to trades where participants have the weakest requirements.
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Not the greatest thing since Sliced Bread, it IS Sliced Bread. This project is a series of network tools and a network development SDK, with big hopes, and too little time to code it all.
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Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
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DANNU - Database Artificial Neural Network Utility. A C#/.NET utility implementing the "NeuroBox" library which allows the user to import data from a database and train a network with it. A fully featured NN utlitility is envisioned.
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Neural network library for C++ applications in Windows and Linux. Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported. You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack
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Zeus is a small, lightweight, very fast object oriented framework for developing neural networks with an integrated shell interface.
