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GitHub / bradyneal / realcause
Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed causal structure.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bradyneal%2Frealcause
Stars: 48
Forks: 3
Open Issues: 3
License: mit
Language: Python
Repo Size: 75.9 MB
Dependencies:
25
Created: over 4 years ago
Updated: about 1 year ago
Last pushed: about 3 years ago
Last synced: 11 months ago
Files
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Readme
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Dependencies
environment.yml
pypi
requirements.txt
pypi
- addict *
- causallib *
- comet-ml *
- gpytorch *
- matplotlib *
- numpy *
- pandas *
- pytest *
- requests *
- scikit-learn *
- scipy *
- seaborn *
- statsmodels *
- torch *
- torchvision *
- tqdm *