yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
66
/ 100
Established
1,601 stars and 374 monthly downloads. Available on PyPI.
Maintenance
6 / 25
Adoption
16 / 25
Maturity
25 / 25
Community
19 / 25
Stars
1,601
Forks
143
Language
Python
License
MIT
Category
Last pushed
Dec 24, 2025
Monthly downloads
374
Commits (30d)
0
Dependencies
6
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