jordandeklerk/SwinViT

Modified Swin Transformer model in PyTorch on CIFAR-10 for image classification

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Emerging

This project helps computer vision researchers and practitioners quickly develop and train high-accuracy image classification models, especially for smaller datasets. It takes raw image data, like the CIFAR-10 dataset, and outputs a trained Swin Transformer model capable of categorizing images with high precision. Researchers focused on efficient image recognition or those working with limited computational resources would find this useful.

No commits in the last 6 months.

Use this if you are a computer vision researcher or ML engineer looking to implement and train a high-performance Swin Transformer model for image classification on small to medium-sized image datasets.

Not ideal if you are a business user looking for a ready-to-use image classification API or a non-technical person without Python programming experience.

image-classification computer-vision deep-learning-research model-training pattern-recognition
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

10

Forks

2

Language

Python

License

MIT

Last pushed

May 05, 2025

Commits (30d)

0

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