tfprobability
Interface to 'TensorFlow Probability'
Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow' that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU'). 'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.15.2 |
2026-04-09 windows/windows R-4.5 | tfprobability_0.15.2.zip |
2.2 MiB |
Dependencies (latest)
Imports
- tensorflow (>= 2.4.0)
- reticulate
- keras
- magrittr
Suggests
- tfdatasets
- testthat (>= 2.1.0)
- knitr
- rmarkdown