Pyro Documentation

Pyro Core:

• Installation
  • Install from Source
• Getting Started
• Primitives
• Inference
  • SVI
  • ELBO
  • Importance
  • Reweighted Wake-Sleep
  • Sequential Monte Carlo
  • Stein Methods
  • Likelihood free methods
  • Discrete Inference
  • Inference Utilities
  • MCMC
  • Automatic Guide Generation
• Distributions
  • PyTorch Distributions
  • Pyro Distributions
  • Transforms
  • TransformModules
  • Transform Factories
• Parameters
  • ParamStore
• Neural Networks
  • Pyro Modules
  • AutoRegressiveNN
  • ConditionalAutoRegressiveNN
• Optimization
  • Pyro Optimizers
  • PyTorch Optimizers
  • Higher-Order Optimizers
• Poutine (Effect handlers)
  • Handlers
  • Trace
  • Runtime
  • Utilities
  • Messengers
• Miscellaneous Ops
  • Utilities for HMC
  • Newton Optimizers
  • Tensor Indexing
  • Tensor Contraction
  • Gaussian Contraction
  • Statistical Utilities
  • State Space Model and GP Utilities

Contributed Code:

• Automatic Name Generation
  • Named Data Structures
  • Scoping
• Bayesian Neural Networks
  • HiddenLayer
• Causal Effect VAE
  • CEVAE Class
  • CEVAE Components
  • Utilities
• Easy Custom Guides
  • EasyGuide
  • easy_guide
  • Group
• Pyro Examples
  • Datasets
  • Utilities
• Gaussian Processes
  • Models
  • Kernels
  • Likelihoods
  • Parameterized
  • Util
• Mini Pyro
• Optimal Experiment Design
  • Expected Information Gain
  • Generalised Linear Mixed Models
• Time Series
  • Abstract Models
  • Gaussian Processes
  • Linear Gaussian State Space Models
• Tracking
  • Data Association
  • Distributions
  • Dynamic Models
  • Extended Kalman Filter
  • Hashing
  • Measurements

Indices and tables

• Index
• Search Page