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

active 2024-05-032026-08-04 (UTC)

Partial coverage16,019 / 19,945 hourly files (80%) · 2 absent upstream · 3,925 failed, retryable2024-05-022026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
1.7K
Pushes
0
Pull requests
3
Issues
17
Stars
1.5K
Forks
143

Activity over time

Daily event counts in the loaded window

Line chart, 824 days from 2024-05-03 to 2026-08-04. Pushes: 0 total, peak 0 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 17 total, peak 3 in a day. Comments: 15 total, peak 2 in a day. Stars: 1,506 total, peak 12 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Recent activity

Latest issues, pull requests and releases

  • Issue comment#379btryq2025-11-25 03:43
    KeyError: 'LOCAL_RANK'
  • Pull request#386noelEOS2025-09-26 02:35
  • Issue comment#380abhiagwl42622025-09-22 12:57
    How to replace the YOLOv11backbone with SwinTransformer?
  • Issue comment#111ctxqlxs2025-08-13 00:34
    Inferior performance of EMA model
  • Issue comment#360jasonrichdarmawan2025-07-01 08:11
    What is `patches_resolution` in class `PatchEmbed`?
  • Issue comment#382nextday1232025-03-20 05:28
    How do I use swin-transformer to predict the category of images in my own folder and show size mismatch when I load the model
  • Issue#382nextday1232025-03-20 04:45
    How do I use swin-transformer to predict the category of images in my own folder and show size mismatch when I load the model
  • Pull request#381shubhranshii2025-03-08 14:22
  • Issue#379Athon-cyber2025-02-28 07:50
    KeyError: 'LOCAL_RANK'
  • Pull request#376woongjoonchoi2025-01-15 07:44
  • Issue#375GamblerZSY2024-12-27 02:20
    Structure of SwinT.
  • Issue comment#256dongdongtong2024-12-25 10:58
    Equivalence between Patch Merging and Conv.
  • Issue#374Tismer2024-12-25 09:52
    How to input custom image size data, such as 64×64, when training my own dataset using the Swin-TransformerV2?
  • Issue#372sIHURs2024-12-01 12:53
    Mismatch Between Pre-trained Weights and Model Structure in SwinV2-Tiny Encoder: relative_coords_table/relative_position_index/attn_mask
  • Issue#370dql04262024-10-08 06:34
    document missing
  • Issue comment#335fosteman2024-10-01 11:49
    About using swinv2 for transfer training at high resolution
  • Issue#369wanghaoyucn2024-09-26 06:39
    no weight decay setting error in SimMIM pretraining
  • Issue#368youthong2024-09-26 02:58
    Accuracy Error Accumulation
  • Issue comment#360hewg20082024-09-25 01:35
    What is `patches_resolution` in class `PatchEmbed`?
  • Issue#367smilingfish0002024-09-20 01:45
    relative_coords
  • Issue comment#342GuoST92024-09-15 11:48
    Swin Transformer training and evaluation script: error: the following arguments are required: --local_rank
  • Issue comment#342wjyshuai2024-09-15 08:55
    Swin Transformer training and evaluation script: error: the following arguments are required: --local_rank
  • Issue#366ignitemylife2024-08-15 08:28
    DropPath: why scale_by_keep=True? eg: batch_id which not masked will multipy with 1./keep_prob, it may not make sense?
  • Issue#363AdharshC77772024-07-18 02:08
    Interpolation of positional embeddings when fine-tuning (320x320) when the model is pre-trained on 512x512.
  • Issue#360jasonrichdarmawan2024-07-03 21:36
    What is `patches_resolution` in class `PatchEmbed`?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,506 stars here means stars gained during the window, not the repo's star count.