{"library":"tensorflow-probability","type":"library","category":null,"description":"TensorFlow Probability (TFP) is a Python library built on TensorFlow that facilitates probabilistic reasoning and statistical analysis. It seamlessly integrates probabilistic models with deep learning on modern hardware (TPUs, GPUs) by providing a wide selection of probability distributions, bijectors, probabilistic layers, variational inference, Markov chain Monte Carlo, and optimizers. Currently at version 0.25.0, TFP follows a regular release cadence, typically aligning with TensorFlow releases.","language":"python","status":"active","version":"0.25.0","tags":["machine-learning","deep-learning","statistics","probability","tensorflow","bayesian-inference","probabilistic-programming","glm"],"last_verified":"Fri May 22","install":[{"cmd":"pip install tensorflow-probability","imports":["import tensorflow_probability as tfp","import tensorflow_probability.distributions as tfd","import tensorflow_probability.bijectors as tfb","import tensorflow_probability.glm as tfg"]},{"cmd":"pip install tensorflow-probability[tf]","imports":[]},{"cmd":"pip install tensorflow-probability[tf-cpu]","imports":[]},{"cmd":"pip install tensorflow-probability[jax]","imports":[]}],"homepage":null,"github":"http://github.com/tensorflow/probability","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensorflow-probability/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":63,"avg_install_s":16.1,"avg_import_s":0,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensorflow-probability/compatibility"}}