dro and E2E-DRO
Both tools are implementations of distributionally robust optimization (DRO) methods, suggesting they are **competitors** offering similar functionalities for handling uncertainty in machine learning models, with "namkoong-lab/dro" being a more established and actively used package given its higher star count and download numbers.
Maintenance
13/25
Adoption
15/25
Maturity
25/25
Community
10/25
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
17/25
Stars: 157
Forks: 10
Downloads: 133
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 38
Forks: 11
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
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About dro
namkoong-lab/dro
A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch
About E2E-DRO
Iyengar-Lab/E2E-DRO
End-to-end distributionally robust optimization
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