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flowMC
flowHMC
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kazewong/kazewong
flowMC
kazewong/kazewong
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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
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API
API
Sampler
Nfmodel
Nfmodel
Base
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realNVP
rqSpline
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Proposal
Gaussian random walk
HMC
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NF proposal
Base
flowHMC
flowHMC
Table of contents
flowHMC
Strategy
Strategy
Base
Global tuning
Importance sampling
Optimization
Utils
Utils
EvolutionaryOptimizer
PythonFunctionWrap
Postprocessing
Table of contents
flowHMC
flowHMC