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GitHub / MingSun-Tse / Good-DA-in-KD
[NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MingSun-Tse%2FGood-DA-in-KD
Stars: 23
Forks: 1
Open Issues: 0
License: None
Language: Python
Repo Size: 5.65 MB
Dependencies:
22
Created: over 1 year ago
Updated: about 1 year ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Topics: data-augmentation, knowledge-distillation, model-compression, statistical-learning
Files
Dependencies
- ConfigArgParse ==1.5.1
- Pillow ==9.1.0
- PyYAML ==6.0
- foolbox ==3.3.1
- lmdb ==1.2.1
- matplotlib ==3.4.2
- numpy ==1.21.0
- pandas ==1.3.0
- scikit_learn ==1.0.2
- torch ==1.9.0
- torchsummaryX ==1.3.0
- torchvision ==0.10.0
- uutils ==0.0.3
- Pillow ==8.4.0
- PyYAML ==6.0
- ezlogging ==0.2
- lmdb ==1.2.1
- matplotlib ==3.4.2
- numpy ==1.21.0
- pandas ==1.3.0
- torch ==1.9.0
- torchvision ==0.10.0