A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Create and test complex statistical models to analyze data and make predictions using a programming language.
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Free · no card · unsubscribe anytimeA 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.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
edward is an open-source project.
Yes. edward is free and open source — you can use, modify and self-host it.
edward is written mainly in Jupyter Notebook.
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