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Stars gained: From Jun 2, 2026 to Nov 14, 2026, each from zeroStars gainedFrom Jun 2, 2026 to Nov 14, 2026, each from zero020Jun 2Nov 14, 2026keyu-tian/SparKopen-mmlab/mmpretrain
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3K4KMay 13Nov 14, 2026keyu-tian/SparKopen-mmlab/mmpretrain

Facts

Fact keyu-tian/SparK

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

open-mmlab/mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

Stars 1,3853,863
Net stars, last 30 days +4+5
Largest star day +3 on Oct 8, 2026+2 on May 14, 2026
Milestone reached in the record NoneNone
Forks 861,109
Language PythonPython
License MITAPACHE-2.0
Created Jan 5, 2023Jul 9, 2020
Last push Jan 23, 2024Nov 1, 2024
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 13, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: masked-image-modeling, self-supervised-learning, deep-learning, pytorch, mae. 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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