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Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments.
Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information.
ASCEND is a modelling environment and solver for large or small systems of non-linear equations, for use in engineering, thermodynamics, chemistry, physics, mathematics and biology. Solvers for both steady and dynamic (NLA & DAE) problems, are provid
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
TeXPerfect plans to be a cross-platform, extensible, user-friendly yet expert-tunable visual TeX implementation. The most important feature will be a split screen (inspired by WordPerfect(R) Reveal Codes) showing the underlying TeX code.
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