Search Results for "deep learning with python"

The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on...

This project is a rewritten of an initial project that I've called GLUE and created in 2005. I'm trying to readapt it for Python 2.7.3 and GCC 4.6.3 The library has to be build as a simple Python extension using >python setup.py install and allows to create different kind of servers, clients or hybryds (clients-servers) over (TCP/UDP) using the Ipv6 Protocol. The architecture of the code is based on brain architecture. Will put an IPv6 adress active available as soon as possible...

An open source system for supervised document classification based on statistical machine learning techniques. On the contrary of the state of art classification techniques, MyNook just requires the title of the document, not the content itself.

AccountSort will be a rule based accounting project. Main purpose is as a python learning project.

Definir un entorno (medio ambiente) y a micro-organismos (gunus) que vivan en el y se desarrollen es el objeto de este proyecto.

Pytest is an open source testing and evaluation framework written in Python. It is compliant with IMS Global Learning Consortium, Inc. QTI specification and can be used as a tests editor or as a server for creating a networked testing framework.

This project is developing a modular framework for constructing machine intelligences. The modular approach allows for both rapid development of simple AI's and also construction of larger and more general learning based engines.

WHEREAMI is an intelligent and self-learning network detection and configuration utility. With this capability, a user can just walk to a network range and WHEREAMI will self determine and connect to that network with relevant policies.

This is a PacMan Clone that we intend to program for learning Game Development. Feel free to give us your advice and tell us if you like playing it. Este es un clon del Pacman que queremos programar para aprender a Desarrollar Juegos.

PyGavel is a trainer for learning parliamentary procedure, and Robert`s Rules of Order in specific. Users can make and import modules for their own bylaws, variations, etc.

Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.

Zope products to form a base for a web site where trainers can easily create and customize online flash-made learning applications for the disabled.

Betelgeuse is a machine learning modeling package designed to meet the requirements of heavy-duty industry use. It was designed to be efficient, reliable, and highly modular; it is developed primarily in Python to promote maintainability and rapid development, but uses Cython and C in critical bottlenecks for efficiency. It focuses on high-quality implementations of a diverse set of the most widely used machine learning algorithms. An important goal of Betelgeuse is to have a clean...

The Ottawa Python Authors Group is devoted to learning, using, and providing resources to the Python programming language.

A scientific framework for testing and learning the learning of a computer.

The learnbt is an open source learning bt protocol and c++ written and usable in C++. It is linux & unix platform software.