Search Results for "python neural network" - Page 17
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Showing 460 open source projects for "python neural network"
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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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"Project EROS" is a collection of software which includes a web application framework for developing intranet and extranet applications (bbsengine), as well as example applications to demonstrate the available functionality.
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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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Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
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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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Amygdala is a C++ spiking neural network library. It includes several neuron models, SMP support and facilities for developing SNNs with genetic algorithms. Support for running Amygdala neural networks on workstation clusters and MPPs is also under way
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This project has been renamed "pycopia", and extended. This is no longer maintained. Pycopia is hosted at Google code hosting. Please go to: http://code.google.com/p/pycopia/
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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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Compiler for message-passing network protocols, currently based on UDP. APC is written in Python and produces C code. It includes a C run-time library.
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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.
