A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
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Updated
Jun 14, 2021 - Jupyter Notebook
A jupyter notebook showing how to finetune the vision transformer on a facial expression dataset (FER-2013)
GSoC'22 @ TensorFlow Notebooks, Code and much more
This notebook, which is part of the EPFL's Visual Intelligence course assignments, implements a vision transformer for classification as well as a GPT model for image generation.
Transformer turorial. Transformer教程
This repository houses my notebook for replicating the paper on Vision Transformers from scratch. The replication is performed on a custom version of an Indian Food dataset, tailored specifically for a classification task.
This repository hosts the files and notebooks for my Food Classification App. The application is built using Gradio and deployed on Hugging Face. Explore the code and documentation to understand the implementation and feel free to contribute or use it for your own projects.
Notebooks of pre trained models using the HAM10000 dataset
Colab notebook where I replicate the Vision Transformer research paper from scratch in PyTorch on 'AI generated vs Real images dataset' and also fine-tune a pre-trained ViT-B/16 model on the same dataset to compare its performance
Repo of all deep learning models
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