vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Recent spike this week

7d +0.03% +7 stars in 7d
30d Not tracked yet — first tracked 2026-09-02
90d Not tracked yet — first tracked 2026-09-02
Sep 2, 2026: 25,499 starsSep 3, 2026: 25,498 starsSep 5, 2026: 25,498 starsSep 6, 2026: 25,499 starsSep 7, 2026: 25,500 starsSep 8, 2026: 25,501 starsSep 9, 2026: 25,501 starsSep 10, 2026: 25,500 starsSep 11, 2026: 25,501 starsSep 12, 2026: 25,501 starsSep 13, 2026: 25,502 starsSep 14, 2026: 25,503 starsSep 15, 2026: 25,506 starsSep 16, 2026: 25,507 starsSep 17, 2026: 25,510 starsSep 18, 2026: 25,512 starsSep 19, 2026: 25,511 starsSep 20, 2026: 25,514 starsSep 21, 2026: 25,514 starsSep 22, 2026: 25,518 starsSep 23, 2026: 25,522 starsSep 24, 2026: 25,522 starsSep 25, 2026: 25,521 starsSep 26, 2026: 25,523 starsSep 27, 2026: 25,523 starsSep 28, 2026: 25,525 starsSep 29, 2026: 25,524 starsSep 30, 2026: 25,527 starsOct 1, 2026: 25,529 stars 25,49825,51425,529 Sep 2Oct 1

25,499 → 25,529 stars since Sep 2

25,492 Stars 3,496 Forks 143 Open issues
artificial-intelligenceattention-mechanismcomputer-visionimage-classificationtransformers