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Stars gained: From May 8, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 14, 2026, each from zero0200May 8Nov 14, 2026yoshitomo-matsubara/torchdistillmicrosoft/Swin-Transformer
Stars: The star count at the end of each dayStarsThe star count at the end of each day10KApr 26Nov 14, 2026yoshitomo-matsubara/torchdistillmicrosoft/Swin-Transformer

Facts

Fact yoshitomo-matsubara/torchdistill

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 ensuring the reproducibiliy and benchmark.

microsoft/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Stars 1,63616,080
Net stars, last 30 days +4-13
Largest star day +2 on Jun 4, 2026+9 on Jun 8, 2026
Milestone reached in the record NoneNone
Forks 1442,212
Language PythonPython
License MITMIT
Created Dec 18, 2019Mar 25, 2021
Last push Nov 12, 2026Jul 24, 2024
Archived NoYes
Health facts: Maintenance 2 of 4 checks (2 without data)0 of 4 checks
Health facts: Releases 2 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)1 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)2 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data0 of 52
In the Repository Index since Nov 12, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: image-classification, imagenet, object-detection, semantic-segmentation. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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