Features
Amortized Bayesian inference with neural networks
Simulation-based inference for implicit models
Neural posterior estimation (NPE)
Neural likelihood estimation (NLE)
Neural ratio estimation (NRE)
Automated summary statistics extraction
Support for custom neural architectures
Integration with TensorFlow and PyTorch
Tools for simulation design and sampling
Validation metrics for posterior accuracy
Checkpointing and resumption of training
Comprehensive documentation and tutorials
Natural language query input
Step-by-step solutions (Pro)
Algorithmic computation engine
Curated knowledgebase across domains
Visual plots and graphics
Unit and measure conversions
Physics and chemistry problem solver
Statistical analysis tools
Money and finance computations
Date and time calculations
Personal health and nutrition data
Mobile app for iOS and Android
Wolfram Problem Generator
