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Probabilistic modeling and statistical inference in TensorFlowTensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration and distributed computation.
Version: 0.12.1 License: Apache-2| Maintainers | No Maintainer |
| Categories | python |
| Homepage | http://github.com/tensorflow/probability |
| Platforms | darwin |
| Variants |
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Subport(s) (3)
"py37-tensorflow-probability" depends on
lib (2)
run (7)
build (5)
test (2)
Ports that depend on "py37-tensorflow-probability"
lib (1)run (4)
Port notes
This version is built based on a base architecture for convenience,
which may not be optimized for your system. To build a version
customized for your machine, use the +native variant
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