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https://github.com/ic/awesome-probabilistic-programming

A curated list of awesome resources about Probabilistic Programming.
https://github.com/ic/awesome-probabilistic-programming

List: awesome-probabilistic-programming

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A curated list of awesome resources about Probabilistic Programming.

Awesome Lists containing this project

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# Probabilistic Programming [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

> A curated list of awesome resources about Probabilistic Programming.

## Contents

- [Books](#books)
- [Open Source Software](#oss)

All lists are in alphabetical order.

## Books

- [Practical Probabilistic Programming](https://www.manning.com/books/practical-probabilistic-programming), by Avi Pfeffer.
- [Probabilistic Deep Learning With Python, Keras and TensorFlow Probability](https://www.manning.com/books/probabilistic-deep-learning), by Oliver Dürr, Beate Sick, Elvis Murina. [Estimated release in Spring 2020]
- [Probabilistic Programming & Bayesian Methods for Hackers](http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/), by Cameron Davidson-Pilon.

## OSS

### General libraries

#### Python

- [PyMC3](https://docs.pymc.io/), Torch backend.
- [PyMC4](https://github.com/pymc-devs/pymc4), Tensorflow Probability backend.
- [Pyro](http://pyro.ai/)
- [Stan](https://mc-stan.org/)
- [TensorFlow Probability](https://www.tensorflow.org/probability/)

##### Discontinued or merged libraries

- [Edward](http://edwardlib.org/) - In TensorFlow Probability as Edward 2.
- [PyMC](https://github.com/pymc-devs/pymc) - Original libary based on Theano. Now PyMC3.

#### R

- [Stan](https://mc-stan.org/)

### Julia

- [Gen](https://probcomp.github.io/Gen/)
- [Stan](https://mc-stan.org/)

#### C#

- [Infer.NET](https://dotnet.github.io/infer/)

#### Scala

- [Figaro](https://github.com/p2t2/figaro)

### Specialised libraries

#### Python

- [Prophet](https://facebook.github.io/prophet/)

## Contribute

Contributions welcome! Read the [contribution guidelines](contributing.md) first.

## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](http://creativecommons.org/publicdomain/zero/1.0)

To the extent possible under law, contributors have waived all copyright and
related or neighboring rights to this work.