dro and skwdro
These are **competitors** offering overlapping implementations of distributionally robust optimization, with the namkoong-lab tool providing more comprehensive DRO methods via cvxpy while skwdro focuses on scikit-learn integration for practical ML workflows.
Maintenance
13/25
Adoption
15/25
Maturity
25/25
Community
10/25
Maintenance
13/25
Adoption
9/25
Maturity
18/25
Community
5/25
Stars: 157
Forks: 10
Downloads: 133
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 19
Forks: 1
Downloads: 31
Commits (30d): 0
Language: Python
License: BSD-3-Clause
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About dro
namkoong-lab/dro
A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
About skwdro
iutzeler/skwdro
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
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