1.0.0
Pyro Core:
Installation
Getting Started
Primitives
Inference
Distributions
Parameters
Neural Networks
Optimization
Poutine (Effect handlers)
Miscellaneous Ops
Contributed Code:
Automatic Name Generation
Bayesian Neural Networks
Easy Custom Guides
Gaussian Processes
Mini Pyro
Optimal Experiment Design
Time Series
Tracking
Pyro
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Pyro Documentation
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Pyro Documentation
¶
Pyro Core:
Installation
Install from Source
Getting Started
Primitives
Inference
SVI
ELBO
Importance
Sequential Monte Carlo
Stein 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
Messengers
Runtime
Utilities
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
Easy Custom Guides
EasyGuide
easy_guide
Group
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
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Index
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v: 1.0.0
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