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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.
full installation and usage instructions given at
http://sourceforge.net/p/rnnl/wiki/Home/
Voikko is a spell checking, grammar checking, morphological analysis and hyphenation system. Spell checkers are available for multiple languages, other features for Finnish only.
Provides support for properties files in Python 3.x
pyproperties provides support for properties files in Python. Being written entirely from scratch it is not in any way derived from java.util.Properties.
There are projects which try to mimic j.u.P. This is not one of them.
It can read, parse and store properties files but also provides some more advanced functionality like manipulating comments and type-guessing.
The Validating Stub Resolver (vsResolver) is a DNS stub resolver that implements the Domain Name System Security Extensions (DNSSEC) specified in RFC 4033, RFC 4034 and RFC 4035. These add data origin authentication and data integrity to the Domain Name System. vsResolver extends the dnspython toolkit (http://www.dnspython.org/) and uses the pycrypto library for its underlying crypto implementation(https://www.dlitz.net/software/pycrypto/).
Click on this link for a ridiculously simple python page demonstrating vsResolver working - http://superawesum.novas.us/py/hello.py. ...
HTML parser which can be used for screen-scraping applications
htmldom parses the HTML file and provides methods for iterating and searching the parse tree in a similar way as Jquery. To report bugs please mail me at bhimsen.pes@gmail.com
Development in Python (be it website or an App development or implementation of an automation framework) always involves certain operations like handling db queries, operations on web, development of data structures, windows operations (handing services, registries), logging and many more...
What, if you have these libraries handy with you all the time?
A python library for parsing and building of data structures (binary or textual). It is based on the concept of defining data structures in a declarative manner, where complex structures are composed of a hierarchy of simpler ones.
The purpose of the Metabrain library is to give developers a way to extract this information from the Internet without resorting to natural language parsing or other complex techniques, using instead statistical methods and patterns/trends analysis.
Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
This is a lightweight and fast library for reading and writing any PNM file - PBM, PGM and PPM, up to 16 bits per sample, in ascii/binary format. Library contains also a Python bindings - module pixfiles with PixFile class.
PyAnnotation is a Python Library to access and manipulate linguistically annotated corpus files. Supported file formats are Kura XML, Elan XML and Toolbox files. A Corpus Reader API is provided to support statistical analysis within the NLTK.
pyastrolib is a python library providing professional astronomers a robust set of tools for astronomical dataanalysis. This project will provide all the functionality as NASA's IDL Astronomy User's Library in addition to other planned features.
bitstring is a pure Python module designed to help make the creation and analysis of binary data as painless as possible. The latest releases support Python 2.6 and 3.x only. For Python 2.4 and 2.5, plus lots more see the googlecode homepage.
An experimental CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. Since then it has been renamed to Triceps, so please look at the new location https://sourceforge.net/projects/t
This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
Addons to the Django Framework for mobile clients. MoGo was originally built to handle JP specific issues, but code to handle other locales are welcome as well. Developed and maintained by MARIMORE Inc http://www.marimore.co.jp
THIS PROJECT HAS MOVED TO https://github.com/marimore/mobiledjango
The Scheme Natural Language Toolkit (S-NLTK) is a Scheme R6RS library for language and text processing, and various tasks related to symbolic and statistical analysis of language data.