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 (4 years ago)

Commits 1,526 (last one 3 days ago)

Stargazers 1,293 (2 this week)

Watchers 18 (0 this week)

Forks 124

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RepositoryStats indexes 523,840 repositories, of these yoshitomo-matsubara/torchdistill is ranked #37,754 (93rd percentile) for total stargazers, and #119,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #5,660/100,813.

yoshitomo-matsubara/torchdistill is also tagged with popular topics, for these it's ranked: pytorch (#632/5505), nlp (#274/2227), natural-language-processing (#184/1311), object-detection (#136/1065), transformer (#85/896), semantic-segmentation (#40/471), image-classification (#50/360)

Other Information

There have been 24 releases, the latest one was published on 2024-03-27 (2 months ago) with the name New KD methods, updated YAML constructors, and low-level loss 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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566 commits on the default branch (main) since jan '22

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updated: 2024-05-30 @ 05:57am, id: 228891845 / R_kgDODaScxQ