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anupj/Vision-Transformer-Implementation-in-PyTorch

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This repository contains a PyTorch implementation of the Vision Transformer (ViT), inspired by the seminal paper "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale". The project builds a Vision Transformer model from scratch, processes images into patches, and trains the model on standard image datasets.

active 2024-12-272024-12-31 (UTC)

Complete coverage26,538 / 26,538 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
17
Pushes
15
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 5 days from 2024-12-27 to 2024-12-31. Pushes: 15 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

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

ContributorContributionsPushesPRsComments
anupj151500

Recent activity

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No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.