A probabilistic programming language in TensorFlow
...It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms.
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Use Case Diagram
- Actor / Use Case
- Association / Direct Association
- Generalization
- Dependency
- Include / Exclude
Class Diagram
- Class / Interface
- Association / Direct Association
- Aggregation / Composition
- Generalization
- Dependency
- Realization
Sequence Diagram
- Object
- Message / SelfMessage / ReturnMessage
MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
The Sequence Diagram / MSC Generator is a tool to generate Sequence Diagrams from a textual description. The diagrams (bmp, png, wmf, and emf) are conform to UML2 standard (Sequence Diagrams) und to SDL standard (Message Sequence Chart).
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The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.