edward

by blei-lab

blei-lab / edward

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

4.6K Stars 776 Forks Last release: almost 3 years ago (1.3.5) Other 1.8K Commits 28 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

edward

Build Status Coverage Status Join the chat at https://gitter.im/blei-lab/edward

Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming.

It supports modeling with

  • Directed graphical models
  • Neural networks (via libraries such as
    tf.layers
    and Keras)
  • Implicit generative models
  • Bayesian nonparametrics and probabilistic programs

It supports inference with

  • Variational inference
    • Black box variational inference
    • Stochastic variational inference
    • Generative adversarial networks
    • Maximum a posteriori estimation
  • Monte Carlo
    • Gibbs sampling
    • Hamiltonian Monte Carlo
    • Stochastic gradient Langevin dynamics
  • Compositions of inference
    • Expectation-Maximization
    • Pseudo-marginal and ABC methods
    • Message passing algorithms

It supports criticism of the model and inference with

  • Point-based evaluations
  • Posterior predictive checks

Edward is built on top of TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard.

Resources

See Getting Started for how to install Edward.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.