fundest is a C/C++ library for robust, non-linear fundamental matrix estimation. The fundamental matrix is a singular 3x3 matrix which relates corresponding points in two views according to the epipolar constraint. fundest computes an estimate which minimizes an appropriate non-linear cost function defined on matching points (currently either Sampson error or symmetric distance of points from their epipolar lines) and includes robust regression techniques for coping with outliers (i.e., mismatched point pairs).
ogEditor is a Web-based WYSIWYG HTML editor with a built-in file manager. It features a Tag Selector which lets you view and edit a tag's attributes and internal styles while working in the Design view of an HTML page. Tag Selector displays the entire chain of tags which apply to the current selection or to the cursor position. When any of the tags is selected, its corresponding element will be highlighted in the Design view, and the selected element's attributes and internal styles are also displayed and can be edited in the Property editor window.
Piglet is a tool for parsing and lexing text for the .NET framework. The purpose of Piglet is to provide an easy-to-use tool for parsing text which can be easily included in any .NET project as a single assembly. In contrast to most parser generators, Piglet provides a fluent interface which enables you to express your grammar in a syntax which is accessible for users with no prior experience of parser generators. Piglet generates efficient, type safe, and reentrant LALR(1) parsers at runtime, which saves you from having a pre-compile step to generate your parsing tables. It also includes a lexical scanner generator which can be used independently of the parser generator.
statsmodels is a Python package which provides a complement to scipy for statistical computations, including descriptive statistics and estimation of statistical models. The main included model categories are linear, discrete, generalized linear, and robust linear, and, in time series analysis, AR, ARMA, and VAR. It also includes statistical tests mainly for regression diagnostics. statsmodels was renamed from scikits.statsmodels.