sparseLM is a software package for efficiently solving arbitrarily sparse non-linear least squares problems. It offers a generic implementation of the Levenberg - Marquardt optimization algorithm on top of a variety of sparse direct solvers, thus being applicable to problems with arbitrary sparseness. sparseLM accepts sparse Jacobians encoded in either compressed row storage (CRS) or compressed column storage (CCS, aka Harwell-Boeing) format. It is also possible to supply it just with the Jacobian's sparsity pattern and have its values be numerically approximated using finite differences, or even instruct it to attempt the automatic detection of the sparsity pattern corresponding to the Jacobian of the function to be minimized. Note that for dense non-linear least squares problems, project levmar is more appropriate.
Bmrblib is a Python API abstracting the Biological Magnetic Resonance Data Bank (BioMagResBank or BMRB) NMR-STAR format. It allows the writing of NMR-STAR files for BMRB data deposition and the reading and easy extraction of data from files residing in the BMRB data bank, all without knowledge of the Self-Defining Text Archive and Retrieval (STAR) format.
MinimalModbus is an easy-to-use Python module for talking to instruments (slaves) from a computer (master) using the Modbus protocol. Example code includes drivers for Eurotherm and Omega process controllers. The only dependency is the pySerial module. This software supports the ‘Modbus RTU’ serial communication version of the protocol, and is intended for use on Linux, OS X, and Windows platforms. It has been tested with Python2.6, Python2.7, and Python3.2.
Maveryx is an automated functional testing tool. It provides testers with automated testing capabilities for functional testing, regression testing, GUI testing and data-driven testing. It does not require you to pre-record or capture any GUI Maps (or ‘Test Object Maps’) to create and run tests. During test execution, Maveryx takes ‘snapshots’ of the application user interface and automatically identifies the UI Objects to test. The tool includes fuzzy matching algorithms to unambiguously locate objects at runtime, even if the objects have changed since test creation. Maveryx also provides the ability to automate keywords, to validate dynamic data, to create data-driven tests, and to support custom controls. It is platform independent and runs as a standalone application or as an Eclipse plugin.
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).