# yoshitomo-matsubara/torchdistill

<https://repo.masters-masters.com/en/repos/yoshitomo-matsubara/torchdistill>

[Home](https://repo.masters-masters.com/en) › [yoshitomo-matsubara](https://repo.masters-masters.com/en/owners/yoshitomo-matsubara) › [torchdistill](https://repo.masters-masters.com/en/repos/yoshitomo-matsubara/torchdistill)

yoshitomo-matsubara/torchdistill has 1,635 stars on GitHub. Its RepoMasters card: Beta tier. A coding-free framework built on PyTorch for reproducible deep…

| Field | Value |
| --- | --- |
| Owner | [yoshitomo-matsubara](https://repo.masters-masters.com/en/owners/yoshitomo-matsubara) |
| Stars | 1,635 |
| Forks | 144 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | knowledge-distillation, pytorch, image-classification, imagenet, object-detection, coco, semantic-segmentation, cifar10, cifar100, colab-notebook |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [yoshitomo-matsubara/torchdistill](https://github.com/yoshitomo-matsubara/torchdistill) |

## Repository

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆28 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 ensuri…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.