latest
Pyro Core:
Installation
Getting Started
Primitives
Inference
Distributions
Parameters
Neural Network
Optimization
Poutine (Effect handlers)
Miscellaneous Ops
Contributed Code:
Automatic Guide Generation
Automatic Name Generation
Bayesian Neural Networks
Generalised Linear Mixed Models
Gaussian Processes
Mini Pyro
Optimal Experiment Design
Tracking
Pyro
Docs
»
Pyro Documentation
Edit on GitHub
Pyro Documentation
¶
Pyro Core:
Installation
Install from Source
Getting Started
Primitives
Inference
SVI
ELBO
Importance
Discrete Inference
Inference Utilities
MCMC
Distributions
PyTorch Distributions
Pyro Distributions
Transformed Distributions
Parameters
ParamStore
Neural Network
AutoRegressiveNN
Optimization
Pyro Optimizers
PyTorch Optimizers
Higher-Order Optimizers
Poutine (Effect handlers)
Handlers
Trace
Messengers
Runtime
Utilities
Miscellaneous Ops
Utilities for HMC
Newton Optimizers
Tensor Contraction
Contributed Code:
Automatic Guide Generation
AutoGuide
AutoGuideList
AutoCallable
AutoDelta
AutoContinuous
AutoMultivariateNormal
AutoDiagonalNormal
AutoLowRankMultivariateNormal
AutoIAFNormal
AutoLaplaceApproximation
AutoDiscreteParallel
Automatic Name Generation
Named Data Structures
Scoping
Bayesian Neural Networks
HiddenLayer
Generalised Linear Mixed Models
Gaussian Processes
Models
Kernels
Likelihoods
Parameterized
Util
Mini Pyro
Optimal Experiment Design
Expected Information Gain
Tracking
Data Association
Distributions
Dynamic Models
Extended Kalman Filter
Hashing
Measurements
Indices and tables
¶
Index
Search Page
Read the Docs
v: latest
Versions
latest
stable
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.