Open Source Python Scientific/Engineering Software - Page 42

GSI student toolbox is a software package made for teaching purposes. It allows you to perform seismic inversion using global sthocastic inversion method made within CERENA/CMRP. NOTE: you can perform the same operations done with GSI Student Toolbox with our newest software GEOMS2. You can download the beta release here: https://sourceforge.net/projects/geoms2/

A tool to practice and learn Multiple-Choice tests which are very popular at universities. Developed by a team of german Medicine students who wants to bring the "Gegenstandskatalog" to more than Windows.

GUIDE (GUgyeol Integrated Decipherment Environment) is a set of tools for browsing historical document images, transcribing, deciphering and translating it. Developed for studying old buddhist codices, it would be serviceable for studying any papyri.

Open Source Geographical Wifi Analyser Tool

GWCNV is a genome-wide algorithm for detecting CNV associations with diseases. It works directly on a transformation of intensity data. It is powerful and sensitive in detecting small CNV associations, and retains high power for large CNVs.

Medical Image Reconstruction Framework

Galactus is a new astronomical modeling package. The aim is to model and fit datacubes from radio synthesis telescopes. Galactus is the only HI tool which can predict the HI (self-)absorption.

A HTML scraper that uses machine learning frameworks to extract labelled fields from raw HTML. The project also involves the development of a tool to display the semi structured data generated by the scraper component.

Galileo is a library for developing custom distributed genetic algorithms developed in Python. It provides a robust set of objects that can be used directly or as the basis of derived objects. Its modularity makes it easy to extend the functionality. The

Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.

Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.

"gtdev" is an open source tool which assists the engineer in developing a new gas turbine (1D Thermo- and Aerodynamics). It is created by the student research group "Hummingbird - TUM Gas Turbines" placed at the LFA, TU Munich: http://www.hummingbird.tum.de

A Genetic Algorithm Training System in Python. Gatspy provides the framework, the user provides the error (fitness) function. Gatspy will evolve a solution that attempts to minimize the error.

This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.

Set of scripts based on gaussian optics, which allow you to analyze the image waist created from a gaussian beam, and quickly determine 1-lens and 2-lens mode matching configurations to match a beam waist to another waist size

pygpr is a collection of algorithms that can be used to perform Gaussian process regression and global optimization.

GeekCode Generator. Object - oriented python script, which allows You to generate GeekCode Block from natural english language symbols. All instructions are in program. Enjoy and please report bugs or anything else for improve this script. This is my first full object-oriented program.

GemSIM is a software package for generating realistic simulated next-generation sequencing reads with quality score values. Both Illumina and Roche/454 reads (single or paired end) can be simulated using appropriate empirical error models.

Libraries for interacting with Tinytag Data Loggers from Gemini. Please note that this project is no longer maintained.

A clearing house for various pieces of open source software which use the GenCAM data format for input or output of electronic interconnect (PWB, PCB, PWA, PCA) information.

Here we introduce a Genomic Epidemiology Ontology (GenEpiO) that covers vocabulary necessary to identify, document and research food-borne pathogens and associated outbreaks. We envision various subdomains including genomic laboratory testing, specimen and isolate metadata, and epidemiological case investigations. The project files are currently hosted at https://github.com/GenEpiO/genepio/ . Here we provide the genepio-consortium@lists.sourceforge.net listserve. Terms for these subdomains have partially been implemented in the main file, **genepio.owl**, which imports terms from over 25 OboFoundry.org ontologies. Also we have added a number of terms that so far haven't been covered via OboFoundry. Recognizing that GenEpiO encompasses many domains, we are advocating a consortium approach for enhancing its content via interested parties that need particular domain terminology.

Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment. It can be used through a graphical or a command-line interface.

A collection of tools for use in gene naming, including standardization, selection, and comparison.

This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.

We aim to develop a transformative computational method for automatic discovery of a set of dynamical rules that best captures both state transition and topological transformation in the data of spatio-temporal evolution of a complex network.