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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.
Syntaxtree editor for rapid annotation of existing text
Linguistic Tree Constructor (LTC) is a tool for drawing lingusitic syntax trees of already-existing text.
It is a syntax editor, not a text editor, so the text has to exist already. It is best suited for large-scale, rapid creation of hand-annotated treebanks.
The user can define their own node categories, and can label each node with labels, also definable by the user.
FOML is an expressive logic rule language that supports object modeling, analysis, and inference. It naturally supports model-level activities, such as constraints (extending UML diagrams), dynamic compositional modeling, analysis and reasoning about models, model testing, design pattern modeling, specification of Domain Specific Modeling Languages, and meta-modeling.
FOML can reason about:
1. The model meta-data (meta-model level reasoning, or syntax reasoning)
2. ...
...It provides basic support to model variants and extract variants from a system model.
It provides support to generate organizational structures according to the SE2 Cookbook recommendations.
It provides basic pattern based support to reason on a system model, for example to extract numbers like total power, cost, power consumption for a given product tree
The MBSE plugin for MagicDraw requires MagicDraw 17.0 SP4 or higher with an installed SysML plugin 17.0 SP5 or higher.
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TextUML Toolkit is an IDE for UML that lets you create models at the same speed you write code by using a textual notation instead of the conventional graphical one.
This project is now hosted on github. https://abstratt.github.io/textuml
Feature Modeling Plug-in is a tool for modeling the features (requirements) of a product line and configuring products. Product configuration is supported by automatic choice propagation and conflict resolution. Visit Home Page for papers, demo, HOW-
SeaMonster is a security modeling tool for threat models. It supports notations that security experts and analyzers are already familiar with, namely attack trees and misuse cases, and can connect to a repository for model sharing and reuse.
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This research project seeks to use compiler techniques to perform an attribute-based data-flow analysis on (MOF/UML)models allowing for a syntax-driven validation of a model's static semantics as well as an abstract interpretation of i dynamic behavior.
BPeX is a new XML-Schema model (based upon BPMN OMG specifications and XPDL 2.0) that aims to give a valid support to represent and to analyze business processes, with a graphical support provided by a syntax-aided editor.
QVT-Parser parses QVT-Relations model-transformation specifications from textual syntax into EMF QVT-models. QVT defines a language for expressing model-to-model transformations. The parser is is built using ANTLR and EMF.
Model4Lang is a framework for model driven language development. To develop a programming language of your own, whether it's a simple script language or a full-fledged one, you start by defining its abstract syntax in a model.
A Model to Model transformation engine that executes transformations in a live- and bi-directional manor.
Support for multiple languages, a 'QVT Core' (incl. OCL) compatible language, a java-like declarative syntax, etc.