Search Results for "code new roman"

GridLAB-D is a new power system simulation tool that provides valuable information to users who design and operate electric power transmission and distribution systems, and to utilities that wish to take advantage of the latest smart grid technology. It incorporates advanced modeling techniques with high-performance algorithms to deliver the latest in end-use load modeling technology integrated with three-phase unbalanced power flow, and retail market systems.

An Open Source, web based data cleaning and coding system. queXC takes a data file (such as questionnaire data) and cleans the text input fields by spacing and spell checking them. Operators then code text fields using new/existing coding schemes.

A set of tslint rules for static code analysis of Angular TypeScript projects. (If you are using ESLint check out the new angular-eslint repository.). You can run the static code analyzer over web apps, NativeScript, Ionic, etc. Note that by default all components are aligned with the style guide so you won't see any errors in the console. Codelyzer supports any template and style language by custom hooks.

...Rake used as build tool. Tutorials at http://fortranxunit.wiki.sourceforge.net The core testing part is in FORTRAN, this part can be used independent of the Ruby codes. The Ruby code is to make fixtures and reports easier. Rake is to build the project elegantly. This project also demonstrate a new way to build mixed language code in an alternative way than Make. Most of the FORTRAN are important in nature, used in nuclear and aerospace codes, etc, and maintained and written actively. Please help to bring TDD practices to the FORTRAN community. ...

A multiplatform C++ library for dynamic generation of Excel .xls files containing multiple worksheets. Unlike .csv files, these can be directly opened by Excel and thus provide an excellent way to output large data sets that require further analysis. To see the latest changes, select "Files" and view the README text displayed at the bottom of that pane. IMPORTANT: Major changes are contained in the current SVN source. If you have time please try to use it or the...

... [2] Gagniuc and Ionescu-Tîrgoviste. Gene promoters show chromosome specificity and reveal chromosome territories in humans, BMC Genomics 2013, 14:278. Source code VB6 (Visual Basic 6.0)

*** This is an archive only, please see https://github.com/ANTsX for this and other ANTsX tools *** Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Image segmentation with priors & nonparametric, multivariate models. *** Current ANTs code, binaries (Mac, Windows, Linux) and support is hosted at Github *** https://github.com/ANTsX/ANTs Docker hub: https://hub.docker.com/u/antsx Older code and binaries remain available here on SourceForge (1.9x, pre 2014). If you are new to ANTs you should probably go to Github and get the latest code.

The National Library of New Zealand's Metadata Extraction Tool automatically extracts preservation-related metadata from digital files, then output that metadata in XML formats. It can be used through a graphical user interface or command-line interface. Please take the latest code from 'https://github.com/DIA-NZ/Metadata-Extraction-Tool.git'. The code on source forge will not be updated henceforth as it is moved to github.

Augustus development has moved to google code. The new project page is augustus.googlecode.com. New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.

K-automaton is a new parsing (syntactic analysis) machine isomorphous to language. Implemented in Java. Can generate Java code from grammars described in EBNF.

MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning. The code is well documented and easy to extend, especially for adding new weak learners.

This program will calculate and output metrics on code written in Python. Reports can be generated in text- or XML-files. A plug-in system lets new metrics be added to the program. A set of built-in plug-ins with provide some of the most common metrics a