Class-balanced-loss-pytorch and class-balanced-loss
These are independent implementations of the same academic paper with no dependencies between them, making them direct competitors for the same use case of addressing class imbalance in PyTorch models.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
22/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
19/25
Stars: 806
Forks: 123
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 616
Forks: 69
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About Class-balanced-loss-pytorch
vandit15/Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
About class-balanced-loss
richardaecn/class-balanced-loss
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
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