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It is a testbed for fast experimentation and research\nwith probabilistic models, ranging from classical hierarchical models on small\ndata sets to complex deep probabilistic models on large data sets. Edward fuses\nthree fields: Bayesian statistics and machine learning, deep learning, and\nprobabilistic programming.\n\nIt supports __modeling__ with\n\n+ Directed graphical models\n+ Neural networks (via libraries such as\n    [`tf.layers`](https://www.tensorflow.org/api_docs/python/tf/layers)\n    and\n    [Keras](http://keras.io))\n+ Implicit generative models\n+ Bayesian nonparametrics and probabilistic programs\n\nIt supports __inference__ with\n\n+ Variational inference\n  + Black box variational inference\n  + Stochastic variational inference\n  + Generative adversarial networks\n  + Maximum a posteriori estimation\n+ Monte Carlo\n  + Gibbs sampling\n  + Hamiltonian Monte Carlo\n  + Stochastic gradient Langevin dynamics\n+ Compositions of inference\n  + Expectation-Maximization\n  + Pseudo-marginal and ABC methods\n  + Message passing algorithms\n\nIt supports __criticism__ of the model and inference with\n\n+ Point-based evaluations\n+ Posterior predictive checks\n\nEdward is built on top of [TensorFlow](https://www.tensorflow.org).\nIt enables features such as computational graphs, distributed\ntraining, CPU/GPU integration, automatic differentiation, and\nvisualization with TensorBoard.\n\n## Resources\n\n+ [Edward website](http://edwardlib.org)\n+ [Edward Forum](http://discuss.edwardlib.org)\n+ [Edward Gitter channel](http://gitter.im/blei-lab/edward)\n+ [Edward releases](https://github.com/blei-lab/edward/releases)\n+ [Edward papers, posters, and slides](https://github.com/edwardlib/papers)\n\nSee [Getting Started](http://edwardlib.org/getting-started) for how to install Edward.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblei-lab%2Fedward","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblei-lab%2Fedward","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblei-lab%2Fedward/lists"}