[![All Contributors](https://img.shields.io/badge/all_contributors-37-orange.svg?style=flat-square)](#contributors-) ## Contributors ✨ Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):
emrekiciman
emrekiciman

💻
Amit Sharma
Amit Sharma

💻
Adam Kelleher
Adam Kelleher

💻 🖋
Tanmay Kulkarni
Tanmay Kulkarni

💻 📖
Aleksandar Jovanovic
Aleksandar Jovanovic

💻
nate giraldi
nate giraldi

📖 💻
Julen Corral
Julen Corral

💻
Baran Toppare
Baran Toppare

📖
EgorKraevTransferwise
EgorKraevTransferwise

💻
Ryan Russell
Ryan Russell

📖
MichaelMarien
MichaelMarien

💻 📖
Kailashbuki
Kailashbuki

💻 📖
Peter Götz
Peter Götz

💻 📖
Patrick Blöbaum
Patrick Blöbaum

💻 📖
Ilias Tsoumas
Ilias Tsoumas

💻
Eli Y. Kling
Eli Y. Kling

📖
Andreas Stöffelbauer
Andreas Stöffelbauer

💻
Ezequiel Smucler
Ezequiel Smucler

💻
Amey Varhade
Amey Varhade

💻
Bhargav Kowshik
Bhargav Kowshik

💻
Chris Trevino
Chris Trevino

💻
Jeffrey Gleason
Jeffrey Gleason

💻
Ikko Ashimine
Ikko Ashimine

📖
Elias
Elias

💻
Padarn Wilson
Padarn Wilson

💻
Michael Oberst
Michael Oberst

💻
Michael Klesel
Michael Klesel

💻
Moritz Freidank
Moritz Freidank

💻
St John Grimbly
St John Grimbly

💻
Lukas Heumos
Lukas Heumos

💻
Dr. Di Prodi
Dr. Di Prodi

💻
Priyadutt
Priyadutt

💻
drawlinson
drawlinson

💻
Dylan W
Dylan W

💻
Víctor Quintas-Martínez
Víctor Quintas-Martínez

💻
Rahul Shrestha
Rahul Shrestha

💻
yogabonito
yogabonito

📖
## 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). 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). 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/).