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TensorFlow Probability API-unstable package.
This package contains potentially useful code which is under active development
with the intention eventually migrate to TFP proper. All code in
tfp.experimental should be of production quality, i.e., idiomatically
consistent, well tested, and extensively documented.
relaxes the TFP non-experimental contract in two regards:
tfp.experimental has no API stability guarantee. The public footprint of
tfp.experimental code may change without notice or warning.
2. Code outside
tfp.experimental cannot depend on code within
You are welcome to try any of this out (and tell us how well it works for you!).
auto_batching module: TensorFlow Probability auto-batching package.
edward2 module: Edward2 probabilistic programming language.
mcmc module: TensorFlow Probability experimental NUTS package.
substrates module: TensorFlow Probability alternative substrates.