Search Results for "eclipse python uml"

Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. A container provides an effectively isolated environment, ensuring a consistent runtime and...

Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies...

MSCViewer is a tool intended for debugging of control flows in concurrent, distributed systems. The tool loads logs generated by various entities in the system and visualize a sequence diagram chart for events and interactions. The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments. MSCViewer features integration with a Python interpreter which allows writing Python scripts...

Gaphor is a UML modeling environment written in Python. Gaphor is small and very extensible. The repository is located at http://github.com/gaphor/gaphor.

Automata Based Programming Tool for implementing logic for J2SE, J2EE and Sybmian applications. Consists of Java FSM Framework and Eclipse Plugin parts. Plugin implements UML model editor, visual debugger, validator, compiler and interpreter for Eclipse

OntoModel is a UML-based editor that works with OWL ontologies. The usage of the UML extension mechanism makes it possible to develope and maintain OWL ontologies with MDA technologies. Implemented as NeOn Toolkit (http://www.neon-toolkit.org) plugin.

The Shrimp suite provides interactive visualizations of graph-based data. Creole (Eclipse plug-in) visualizes Java source code. Jambalaya (Protege plug-in) visualizes ontologies (including OWL), & Stand-Alone Shrimp visualizes RSF/GXL/PRJ/PPRJ files.

Ocular is a spreadsheet written entirely in python. Cell contents are evaluated by python after any standard spreadsheet coordinates are parsed. This allows the full Monty from Python to be implemented in a visual environment.

SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense