A pip package
Project description
CasualDMIR: Causal Discovery, Modeling and Reasoning
CasualDMIR is a python package for causal discovery, modeling and reasoning that is developed from DMIR Lab, GDUT.
The package is under active development. Feedbacks (issues, suggestiong, etc.) are highly encouraged.
Requirements
- Python3
- numpy
- pandas
- scipy>=1.7.3
- scikit-learn
- torch>=1.7.1
- networkx
- matplotlib
- tick
Contributors
Team Leaders: Ruichu Cai, Zhifeng Hao
Coordinators: Wei Chen
Thanks to the following developers for this project:
- @chenweiDelight
- @zhi-yi-huang
- @miumiujiang12138
- @WeilinChen507
- @wean2016
- @Jie-Qiao
- @jinshi201
- @kanseaveg
- @Boyle-Coffee
Please feel free to open an issue if you find anything unexpected. And please create pull requests, perhaps after passing unittests in 'tests/', if you would like to contribute to cdmir. We are always targeting to make our community better!
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