Numpy

NeuroLab - a library of basic nueral networks algorithms with flexible network configurations and learning algorithms. To simplify migration, the syntax of the library is as close to a package of Neural Network Toolbox (NNT) of MATLAB (c). The library is based on the package numpy... Platforms: *nix

Python bindings for ITAPS interfaces Installation: PyTAPS requires the following to be installed on your system: * Python (2.5+) * Numpy * At least one of... * MOAB (or other iMesh interface) * CGM (or other iGeom interface) * Lasso (or other iRel interface) If the include files and... Platforms: *nix

gdspy is a Python module for creating GDSII stream files, usually CAD layouts. It includes a layout viewer for the geometries created. Note that gdspy does not load GDSII files, only creates them. Requirements: * Python 2.* * Numpy * PIL (Python Imaging Library) * (optional) for direct output... Platforms: *nix

Easy-to-use and general-purpose machine learning in Python scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). It aims to provide simple and efficient solutions to learning problems... Platforms: *nix

bops stands for boolean array operations. bops uses numpy to do boolean operations on numpy.ndarrays. This module is meant to simpifiy boolean operations on lists and arrays. This module also allows for combining boolean arrays to get the logical AND, as well as the OR, for multiple boolean... Platforms: *nix

Few days ago the new version of leeenux was released. Despite the fact I was really happy with the old version (2.0), I have decided to spend part of the belgian rainy easter testing the new version on my 701. With respect version 2.0, the main differences are: New kernel, new UNR menu,... Platforms: *nix