gnn-simulation-execution
CommunityOrchestrate GNN executions across frameworks.
AuthorActiveInferenceInstitute
Version1.0.0
Installs0
System Documentation
What problem does it solve?
GNN Simulation Execution (Step 12) provides a unified, robust method to run rendered GNN simulations across multiple backends (PyMDP, RxInfer.jl, ActiveInference.jl, JAX, DisCoPy, PyTorch, NumPyro), capturing outputs and failure diagnostics for reliable downstream analysis.
Core Features & Use Cases
- Support for PyMDP, RxInfer.jl, ActiveInference.jl, JAX, DisCoPy, PyTorch, NumPyro backends
- Robust environment validation, dependency checks, and execution reporting for reproducible experiments
- Use cases include benchmarking different backends, validating model render outputs, and producing structured execution summaries for downstream analysis.
Quick Start
Run the processor to execute all rendered simulations and collect results in the output directory.
Dependency Matrix
Required Modules
inferactively-pymdpRxInfer.jlActiveInference.jljaxdiscopynumpyropytorchjulianumpy
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gnn-simulation-execution Download link: https://github.com/ActiveInferenceInstitute/GeneralizedNotationNotation/archive/main.zip#gnn-simulation-execution Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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