torchdistill
yoshitomo-matsubara
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.
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16 data points · 2021-08-01 → 2026-10-01How do you feel about this project?
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Question copied to clipboardWhat is the yoshitomo-matsubara/torchdistill GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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