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Jinja (template engine) Jinja is a web template engine for the Python programming language. It was created by Armin Ronacher and is licensed under a BSD License. Jinja is similar to the Django template engine but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox. It is a text-based template language ...
RaptorX. remote homology detection, protein 3D modeling, binding site prediction. Automated webserver and Downloadable program. Biskit. wraps external programs into automated workflow. BLAST search, T-Coffee alignment, and MODELLER construction. ESyPred3D. Template detection, alignment, 3D modeling. Automated webserver.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. [3] [4] It was developed by the Google Brain team for Google's internal use in research and production.
The announcement of Replit AI's public release states, "Replit will become a synonym of AI for software creators -- only then we will have accomplished our mission." [28] Replit's FAQ states the algorithms were trained on public code. All public code hosted on Replit is subject to the MIT license and may be used to train machine learning models ...
Template. : Biography. Subject's complete name (birthdate – death) can be a lead-in to the subject's popular name. Describe the subject's nationality and profession (s) in which the subject is most notable. Provide a description of the subject's major contributions in the immediately relevant field (s) of notable expertise.
Template. : Biography/doc. This is a documentation subpage for Template:Biography. It may contain usage information, categories and other content that is not part of the original template page. This template should always be substituted (i.e., use { { subst:Biography }}).
The initial scope of Biopython involved accessing, indexing and processing biological sequence files. While this is still a major focus, over the following years added modules have extended its functionality to cover additional areas of biology (see Key features and examples ). As of version 1.77, Biopython no longer supports Python 2.
Deformable templates in computational anatomy. Template matching is a central tool in computational anatomy (CA). In this field, a deformable template model is used to model the space of human anatomies and their orbits under the group of diffeomorphisms, functions which smoothly deform an object. [12] Template matching arises as an approach to ...