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A library for probabilistic modeling, inference, and criticism. 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. Neural networks (via libraries such as Keras.

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Edward – Home | edwardlib.org Reviews

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A library for probabilistic modeling, inference, and criticism. 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. Neural networks (via libraries such as Keras.

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1 edward

2 getting started

3 tutorials

4 advanced

5 probability zoo

6 contributing

7 troubleshooting

8 license

9 it supports modeling

10 with

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Edward – Home | edwardlib.org Reviews

https://edwardlib.org

A library for probabilistic modeling, inference, and criticism. 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. Neural networks (via libraries such as Keras.

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edwardlib.org

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Edward – License

http://edwardlib.org/license

Edward is open-source licensed under the Apache License, version 2.0. The Edward logo is a black box, inspired from an installation by the Dutch artist Erik Olofsen. The Edward logo is licensed under the Creative Commons Attribution-NoDerivatives 4.0 International License.

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Edward – API

http://edwardlib.org/api

Edward’s design reflects the building blocks for probabilistic modeling. It defines interchangeable components, enabling rapid experimentation and research with probabilistic models. Edward is named after the innovative statistician George Edward Pelham Box. Edward follows Box’s philosophy of statistics and machine learning (Box, 1976). First gather data from some real-world phenomena. Then cycle through Box’s loop. Build a probabilistic model of the phenomena. Criticize the model, revise and repeat.

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Edward – Probability Zoo

http://edwardlib.org/zoo

Is a community repository for pre-trained probabilistic models. It includes any parameters to the model as well as parameters to its inferred posterior (such as a variational approximation or posterior samples). Under construction. Check back soon! To contribute a pre-trained model to the repository, please submit a pull request. The parameters should be preferably stored in a TensorFlow checkpoint file. The Probability Zoo is inspired by the model zoo in Caffe. Jia et al., 2014).

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Edward – Getting Started

http://edwardlib.org/getting-started

Getting started with Edward is easy. To install the latest stable version, run. To install the latest development version, run. Pip install -e git https:/ github.com/blei-lab/edward.git#egg=edward. See the troubleshooting page. For detailed installation instructions. Your first Edward program. First, simulate a toy dataset of 50 observations with a cosine relationship. Next, define a two-layer Bayesian neural network. Here, we define the neural network manually with. Import tensorflow as tf from edward&#...

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Edward – Contributing

http://edwardlib.org/contributing

Interested in contributing to Edward? We appreciate all kinds of help! For general discussion about Edward, use Edward’s Gitter channel. For example, it is used to get help with installation, coding and debugging in Edward, and probabilistic modeling. (We also plan to have a mailing list-like option in the future.). For development discussion about Edward, use Edward’s Github issues tracker. For example, it is used to submit bug reports and feature requests. We gladly welcome pull requests. In Edward&#46...

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tim.inversetemperature.net

About – Tim Genewein

http://tim.inversetemperature.net/about

Information-optimal hierarchies for inference and decision-making. Bosch Center for Artificial Intelligence. Stuttgart - Renningen, Germany. Information-optimal hierarchies for inference and decision-making. Bosch Center for Artificial Intelligence. Stuttgart - Renningen, Germany. Biological Cybernetics / Intelligent Systems. My PhD years were well spent at the Max-Planck Institute for Intelligent Systems. And the Max-Planck Institute for Biological Cybernetics. Our group was interested in connecting sen...

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edwardlib.org

Edward – Home

A library for probabilistic modeling, inference, and criticism. 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. Neural networks (via libraries such as Keras.

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