A PyTorch library for Vision Transformers

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Deep Learningvformer
Overview

VFormer

A PyTorch library for Vision Transformers

Getting Started

Read the contributing guidelines in CONTRIBUTING.rst to learn how to start contributing.

Comments
  • Add attention visualization methods

    Add attention visualization methods

    • This article details different ways of visualizing a transformer's attention. It also talks about how such visualizations can aid in explainability of the models.
    • They also provide their code here.
    • We would like to have such visualization methods in the viz module.
    good first issue 
    opened by NeelayS 7
  • Remove _Projection class

    Remove _Projection class

    We can replace _Projection class with a one-liner if-else statement.

    Should we replace it with if-else or should we keep the current implementation?

    cc: @NeelayS @aditya-agrawal-30502 @alvanli

    opened by abhi-glitchhg 6
  •  Enhanced docstring

    Enhanced docstring

    During the last PR (#45), I had to revert back because of compatibility issues

    In this PR I have added some docstrings and Minor changes like changing variable names

    this PR is the same as - #48 with edited title :)

    @NeelayS

    opened by abhi-glitchhg 3
  • Restructuring AbsolutePositionEmbedding class

    Restructuring AbsolutePositionEmbedding class

    AbsolutePositionEmbedding class was structured specifically for the PVT, but we can use it in other models too if we re-structure it properly, it should also support sinusoidal position embedding or a separate class for Sinusoidal embedding also works.

    enhancement 
    opened by abhi-glitchhg 2
  • Add sharpness-aware optimizer

    Add sharpness-aware optimizer

    This paper describes how promoting smoothness with a recently proposed sharpness-aware optimizer substantially improves the performance of ViTs.

    It would be good to have an implementation of this optimizer in our library. It would fit in the functional module.

    A couple of PyTorch implementations are here and here.

    opened by NeelayS 2
  • Documentation related to visualization methods

    Documentation related to visualization methods

    I have added some fixes for page breaks in #86.

    Still, we need to enhance the docs for visualization methods.
    We can include the license/copyright disclaimer for visualization methods in our license or have a separate file.

    Additionally, we can add the sample outputs from these methods into the doc.

    CC : @NeelayS @aditya-agrawal-30502 @alvanli

    documentation enhancement good first issue 
    opened by abhi-glitchhg 1
  • [Paper] Visual Attention Network

    [Paper] Visual Attention Network

    paper - https://arxiv.org/abs/2202.09741 code- https://github.com/Visual-Attention-Network/VAN-Classification https://github.com/Visual-Attention-Network/VAN-Segmentation

    Paper implementation 
    opened by abhi-glitchhg 0
Releases(v0.1.3)
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Society for Artificial Intelligence and Deep Learning
Society for Artificial Intelligence and Deep Learning
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