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edward
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edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

by blei-lab · GitHub
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bayesian-methodsdata-sciencedeep-learningJupyter Notebook
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In plain words

Create and test complex statistical models to analyze data and make predictions using a programming language.

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4 8434 840
2026-07-042026-08-31
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📄 About

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

edward has 4.8k stars on GitHub. It has been forked 744 times. edward is written mainly in Jupyter Notebook. It has been in active development since 2016. Its main topics are bayesian-methods, data-science, deep-learning, machine-learning.

Frequently asked questions

What is edward?

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Is edward open source?

edward is an open-source project.

Is edward free?

Yes. edward is free and open source — you can use, modify and self-host it.

What language is edward written in?

edward is written mainly in Jupyter Notebook.

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