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h5utils is a set of utilities for visualization and conversion of scientific data in the free, portable HDF5 format. Besides providing a simple tool for batch visualization as PNG images, h5utils also includes programs to convert HDF5 datasets into the formats required by other free visualization software (e.g. plain text, Vis5d, and VTK).

Harminv is a free program (and accompanying library) to solve the problem of harmonic inversion - given a discrete-time, finite-length signal that consists of a sum of finitely-many sinusoids (possibly exponentially decaying) in a given bandwidth, it determines the frequencies, decay constants, amplitudes, and phases of those sinusoids.

The purpose of lamprop is to calculate some properties of fiber-reinforced composite laminates. It calculates - engineering properties like Ex, Ey, Gxy - thermal properties CTE_x and CTE_y - physical properties like density and laminate thickness - stiffness and compliance matrices (ABD and abd)

LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized classifiers (L2-loss linear SVM, L1-loss linear SVM, and logistic regression), L1-regularized classifiers (L2-loss linear SVM and logistic regression). Main features of LIBLINEAR include - Same data format as LIBSVM and similar usage - One-vs-the rest and Crammer & Singer multi-class classification - Cross validation for model selection - Probability estimates (logistic regression only) - Weights for unbalanced data

This slave port adds Python interface to LIBSVM.

LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-type algorithm proposed in this paper: R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918, 2005. You can also find a pseudo code there. Our goal is to help users from other fields to easily use SVM as a tool. LIBSVM provides a simple interface where users can easily link it with their own programs. Main features of LIBSVM include * Different SVM formulations * Efficient multi-class classification * Cross validation for model selection * Probability estimates * Weighted SVM for unbalanced data * Both C++ and Java sources * GUI demonstrating SVM classification and regression * Python, R (also Splus), MATLAB, Perl, Ruby, Weka, Common LISP and LabVIEW interfaces. C# .NET code is available. It's also included in some learning environments: YALE and PCP. * Automatic model selection which can generate contour of cross valiation accuracy.

Libxc is library of exchange-correlation functionals for density-functional theory. The aim is to provide a portable, well tested and reliable set of exchange and correlation functionals that can be used by all the ETSF codes and also other codes. In libxc you can find different types of functionals: LDA, GGA, hybrids, and mGGA (experimental).

linSmith is a Smith Charting program. You can enter either discrete components or transmission lines, see the results on screen and/or generate Postscript output. Component values can be changed numerically or using scrollbars.

Medit is an interactive mesh visualization software, developed by P. Frey (University Pierre et Marie Curie). It is intended to display computation results (in mechanics of the solids or fluids, thermics, electromagnetism, etc.) on grids 2d (triangles and quadrangles), 3d (tetrahedrons or hexahedrons) or surfaces (triangles and quandrangles).

Meep (or MEEP) is a free finite-difference time-domain (FDTD) simulation software package developed at MIT to model electromagnetic systems, along with our MPB eigenmode package.