yoshitomo-matsubara / torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Date Created 2019-12-18 (5 years ago)

Commits 1,555 (last one 4 days ago)

Stargazers 1,412 (3 this week)

Watchers 20 (0 this week)

Forks 131

License mit

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RepositoryStats indexes 595,856 repositories, of these yoshitomo-matsubara/torchdistill is ranked #37,272 (94th percentile) for total stargazers, and #111,217 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,744/119,431.

yoshitomo-matsubara/torchdistill is also tagged with popular topics, for these it's ranked: pytorch (#632/6025), nlp (#271/2430), natural-language-processing (#183/1429), object-detection (#133/1176), transformer (#89/1018), semantic-segmentation (#39/521), image-classification (#48/399), knowledge-distillation (#14/159)

Other Information

There have been 26 releases, the latest one was published on 2024-12-15 (6 days ago) with the name PyTorch 2.5 support, model migrations, end of Python 3.8 support.

Homepage URL: https://yoshitomo-matsubara.net/torchdistill/

All Topics

nlp coco glue cifar10 pytorch cifar100 imagenet pascal-voc transformer google-colab colab-notebook object-detection amazon-sagemaker-lab image-classification semantic-segmentation knowledge-distillation natural-language-processing

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595 commits on the default branch (main) since jan '22

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updated: 2024-12-20 @ 11:59pm, id: 228891845 / R_kgDODaScxQ