rsha256 / ViT

This ViT Project achieves over 80% accuracy on Cifar-10, outperforming LeNet and other well-known CNNs. This is also formatted and serves as a JAX homework assignment for CS 182, as our group's final Project.

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ViT

This ViT Project achieves over 80% accuracy on Cifar-10, outperforming LeNet and other well-known CNNs. This is also formatted and serves as a JAX homework assignment for CS 182, as our group's final Project.

Setup

To set up the environment needed for this project, run

conda create --name cs182 python=3.10
conda activate cs182
pip install -r requirements.txt

Note you may need to run conda deactivate before running conda activate cs182 if you are already in an environment.

About

This ViT Project achieves over 80% accuracy on Cifar-10, outperforming LeNet and other well-known CNNs. This is also formatted and serves as a JAX homework assignment for CS 182, as our group's final Project.

License:MIT License


Languages

Language:Jupyter Notebook 96.2%Language:Python 3.8%