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Showing 3 open source projects for "specialized"
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PyMC3
Probabilistic programming in Python
PyMC3 allows you to write down models using an intuitive syntax to describe a data generating process. Fit your model using gradient-based MCMC algorithms like NUTS, using ADVI for fast approximate inference — including minibatch-ADVI for scaling to large datasets, or using Gaussian processes to build Bayesian nonparametric models. PyMC3 includes a comprehensive set of pre-defined statistical distributions that can be used as model building blocks. Sometimes an unknown parameter or variable... -
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Taylor MDA is a specialized UML modeling tool based on Eclipse. It uses convention-based techniques to generate the maximum code from streamlined UML models. Templates are included for generating JEE applications based on JPA/EJB3 and JSF/Seam/Facelets.
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With the death of the Saffron UML software that so many developers were getting excited about, Actionscript 3 programmers are left without hope for an easy-to-access and specialized interface for developing UML Class diagrams that generate code stubs.
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