tensorflow/probability
A TensorFlow library providing probabilistic reasoning, Bayesian methods, and statistical analysis tools integrated with deep learning.
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TensorFlow Probability extends TensorFlow with tools for probabilistic machine learning, including probability distributions, bijectors for transformed variables, and variational inference. It enables integration of Bayesian reasoning with neural networks, supporting gradient-based inference and scalable computation across GPUs and distributed systems. The library works with both TensorFlow and JAX as backends.
Frequently asked
- What is tensorflow/probability?
- A TensorFlow library providing probabilistic reasoning, Bayesian methods, and statistical analysis tools integrated with deep learning.
- Is probability open source?
- Yes — tensorflow/probability is open source, released under the Apache-2.0 license.
- What language is probability written in?
- tensorflow/probability is primarily written in Jupyter Notebook.
- How popular is probability?
- tensorflow/probability has 4.4k stars on GitHub.
- Where can I find probability?
- tensorflow/probability is on GitHub at https://github.com/tensorflow/probability.