Skip to content
flowMC
NF proposal
Initializing search
kazewong/kazewong
flowMC
kazewong/kazewong
Home
Quickstart
Configuration
Tutorial
Tutorial
Analyzing sampling result
Customizing sampling strategy
A step-by-step example running flowMC
Local Sampler Kernels
Obtaining maximum likelihood estimate using evolutionary algorithm
Re-using a trained flow
Training a normalizing flow
Examples
FAQ
Contribution
API
API
Sampler
Nfmodel
Nfmodel
Base
Common
realNVP
rqSpline
Proposal
Proposal
Gaussian random walk
HMC
MALA
NF proposal
NF proposal
Table of contents
NF_proposal
Base
flowHMC
Strategy
Strategy
Base
Global tuning
Importance sampling
Optimization
Utils
Utils
EvolutionaryOptimizer
PythonFunctionWrap
Postprocessing
Table of contents
NF_proposal
NF proposal