This is a heavily interactive web application, and JavaScript is required. Simple HTML interfaces are possible, but that is not what this is.
Post
BayesFlow
bayesflow.org
did:plc:kurbhhox5pturds2tbcagoci
The software implementation elegantly uses BayesFlow‘s modular data pipeline:
- Observables are embedded by a summary network.
- Context information (eg, prior and likelihood type) bypasses the summary net and enters the normalizing flow as direct conditions.
📀 Code: https://github.com/bayesflow-org/SA-ABI
2024-11-25T12:46:18.253Z