[![All Contributors](https://img.shields.io/badge/all_contributors-25-orange.svg?style=flat-square)](#contributors-) ## Contributors โœจ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
emrekiciman
emrekiciman

๐Ÿ’ป
Amit Sharma
Amit Sharma

๐Ÿ’ป
Adam Kelleher
Adam Kelleher

๐Ÿ’ป ๐Ÿ–‹
Tanmay Kulkarni
Tanmay Kulkarni

๐Ÿ’ป ๐Ÿ“–
Aleksandar Jovanovic
Aleksandar Jovanovic

๐Ÿ’ป
nate giraldi
nate giraldi

๐Ÿ“– ๐Ÿ’ป
Julen Corral
Julen Corral

๐Ÿ’ป
Baran Toppare
Baran Toppare

๐Ÿ“–
EgorKraevTransferwise
EgorKraevTransferwise

๐Ÿ’ป
Ryan Russell
Ryan Russell

๐Ÿ“–
MichaelMarien
MichaelMarien

๐Ÿ’ป ๐Ÿ“–
Kailashbuki
Kailashbuki

๐Ÿ’ป ๐Ÿ“–
Peter Gรถtz
Peter Gรถtz

๐Ÿ’ป ๐Ÿ“–
Patrick Blรถbaum
Patrick Blรถbaum

๐Ÿ’ป ๐Ÿ“–
Ilias Tsoumas
Ilias Tsoumas

๐Ÿ’ป
Eli Y. Kling
Eli Y. Kling

๐Ÿ“–
Andreas Stรถffelbauer
Andreas Stรถffelbauer

๐Ÿ’ป
Ezequiel Smucler
Ezequiel Smucler

๐Ÿ’ป
Amey Varhade
Amey Varhade

๐Ÿ’ป
Bhargav Kowshik
Bhargav Kowshik

๐Ÿ’ป
Chris Trevino
Chris Trevino

๐Ÿ’ป
Jeffrey Gleason
Jeffrey Gleason

๐Ÿ’ป
Ikko Ashimine
Ikko Ashimine

๐Ÿ“–
Elias
Elias

๐Ÿ’ป
Padarn Wilson
Padarn Wilson

๐Ÿ’ป
## Contributing Guide This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. This Project welcomes contributions, suggestions, and feedback. All contributions, suggestions, and feedback you submitted are accepted under the [Project's license](./LICENSE.md). You represent that if you do not own copyright in the code that you have the authority to submit it under the [Project's license](./LICENSE.md). All feedback, suggestions, or contributions are not confidential. There are multiple ways to contribute to DoWhy. You can help us make DoWhy better, * Adding a Jupyter notebook that describes the use of DoWhy for solving causal problems * Helping implement a new method for any of the four steps of causal analysis: model, identify, estimate, refute * Integrating DoWhy's API with external implementations for any of the four steps, so that external libraries can be called seamlessly from the `identify_effect`, `estimate_effect` or `refute_estimate` methods. * Helping extend the DoWhy API so that we can support new functionality like interpretability of the estimate, counterfactual prediction and more. * Helping update the documentation for DoWhy If you would like to contribute, you can raise a pull request. If you have questions before contributing, you can start by opening an issue on Github. The Project abides by PyWhy's [code of conduct](https://github.com/py-why/governance/blob/main/CODE-OF-CONDUCT.md) and [trademark policy](https://github.com/py-why/governance/blob/main/TRADEMARKS.md). --- Part of MVG-0.1-beta. Made with love by GitHub. Licensed under the [CC-BY 4.0 License](https://creativecommons.org/licenses/by-sa/4.0/).