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scikits-sparse is a Python module for sparse matrix calculations.

The SciMath project includes packages to support scientific and mathematical calculations, beyond the capabilities offered by SciPy. * enthought.interpolate * enthought.mathematics * enthought.units

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments to test and compare your algorithms. PyBrain is short for Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library. In fact, we came up with the name first and later reverse-engineerer this quite descriptive "Backronym".

Pycdf is a python interface to the Unidata netCDF library. It provides an almost complete coverage of the netCDF C API, wrapping it inside easy to use python classes.

PyNN (pronounced 'pine') is a simulator-independent language for building neuronal network models.

qtResistors - calculate resistance of resistor by the colors on the resistor

BUFR = Binary Universal Form for the Representation of meteorological data. BUFR is approved by WMO (World Meteorological Organization) as the standard universal exchange format for meteorological observations, gradually replacing a lot of older alphanumeric data formats. This module provides methods for decoding and encoding BUFR messages, and for displaying information in BUFR B and D tables and in BUFR flag and code tables. Installing this module also installs some programs: bufrread.pl, bufrresolve.pl, bufrencode.pl, bufr_reencode.pl and bufralter.pl. See https://wiki.met.no/bufr.pm/start for examples of use. For the majority of potential users of Geo::BUFR I would expect these programs to be all that you will need Geo::BUFR for.

The sigrok project aims at creating a portable, cross-platform, Free/Libre/Open-Source signal analysis software suite that supports various device types, such as logic analyzers, MSOs, oscilloscopes, multimeters, LCR meters, sound level meters, thermometers, hygrometers, anemometers, light meters, DAQs, dataloggers, function generators, spectrum analyzers, power supplies, GPIB interfaces, and more.

The sigrok project aims at creating a portable, cross-platform, Free/Libre/Open-Source signal analysis software suite that supports various device types, such as logic analyzers, MSOs, oscilloscopes, multimeters, LCR meters, sound level meters, thermometers, hygrometers, anemometers, light meters, DAQs, dataloggers, function generators, spectrum analyzers, power supplies, GPIB interfaces, and more.

AI4R is a collection of ruby algorithms implementations, covering several Artificial intelligence fields. It implements: * Genetic algorithms * Self-organized maps (SOM) * Neural Networks - Multilayer perceptron with Backpropagation learning - Hopfield net * Automatic classifiers (Machine Learning) - ID3 (Decision Trees) - PRISM (J. Cendrowska, 1987) - Multilayer Perceptron - OneR (AKA One Attribute Rule, 1R) - ZeroR - Hyperpipes - Naive Bayes - IB1 (D. Aha, D. Kibler - 1991) * Data clustering - K-means, Bisecting K-means - Single linkage, Complete linkage, Average linkage, Weighted Average linkage, Centroid linkage, Median linkage, Ward's method linkage - Diana (Divisive Analysis)