-
Notifications
You must be signed in to change notification settings - Fork 21
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #200 from AryanNanda17/vitProposal
[Project]: Proposal for Project Vision Transformers Added
- Loading branch information
Showing
3 changed files
with
115 additions
and
1 deletion.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,39 @@ | ||
| --- | ||
| layout: page | ||
| title: Vision Transformers From Scratch | ||
| description: Implementing a Vision Transformers Model From Scratch | ||
| importance: 1 | ||
| --- | ||
|
|
||
| | Project Domains | Mentors | Project Difficulty | | ||
| |------------------------------|--------------|--------------------| | ||
| | Deep Learning, Transformers, CNNs, LSTMs, Python, Pytorch | Aryan Nanda | Hard | | ||
|
|
||
| <br> | ||
|
|
||
| ### Project Description | ||
|
|
||
| An Image is Worth 16x16 Words. While the Transformer architecture has become the de-facto standard for natural language processing tasks, its use in computer vision remains limited. This project is an attempt to understand the transformer architecture and its use in CV applications. Initially, we will start with naive deep-learning models and then will do basics of Processing sequential data using RNNs, LSTMs and then will understand the workings of Vision Transformers and then will implement a model that can generate a descriptive caption for an image we provide it. | ||
| This project will be very beneficial for those who want to do research in Transformer-based models in Open-source in upcoming years. | ||
|
|
||
| ### Pre-requisites | ||
|
|
||
| - Strong Python Programming -> https://www.youtube.com/watch?v=rfscVS0vtbw | ||
|
|
||
| - Good conceptual understanding of Linear Algebra concepts -> https://www.youtube.com/watchv=fNk_zzaMoSslist=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab | ||
|
|
||
| - Good understanding of concepts taught in the Pixels workshop(Convolutions, playing with images etc.) -> https://drive.google.com/drive/folders/1vyaM4vVJF-gTf_5movE73Ve3Pq_SUFSt | ||
|
|
||
| - Familiarity with neural networks -> https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi (Must Watch) | ||
|
|
||
| > It is recommended that candidates interested in this project go through the above resources. This will give you an advantage over others during interview for this project. | ||
| ### References | ||
|
|
||
| - [Explaination of SOTA Transformers model](https://arxiv.org/abs/1706.03762) | ||
| - [Vision Transformers](https://arxiv.org/abs/2010.11929) | ||
|
|
||
| ### Mentor | ||
| Aryan Nanda - [email protected] | ||
|
|
||
| > If you have any doubts regarding this project or any difficulty in understanding the pre-requisites videos you reach out to the mentor. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,61 @@ | ||
| <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"> | ||
| <html><body> | ||
| <table> | ||
| <thead> | ||
| <tr> | ||
| <th>Project Domains</th> | ||
| <th>Mentors</th> | ||
| <th>Project Difficulty</th> | ||
| </tr> | ||
| </thead> | ||
| <tbody> | ||
| <tr> | ||
| <td>Deep Learning, Transformers, CNNs, Python, Pytorch</td> | ||
| <td>Aryan Nanda</td> | ||
| <td>Hard</td> | ||
| </tr> | ||
| </tbody> | ||
| </table> | ||
|
|
||
| <p><br></p> | ||
|
|
||
| <h3 id="project-description">Project Description</h3> | ||
|
|
||
| <p>An Image is Worth 16x16 Words. While the Transformer architecture has become the de-facto standard for natural language processing tasks, its use in computer vision remains limited. This project is an attempt to understand the transformer architecture and its use in CV applications. Initially, we will start with naive deep-learning models and then will do basics of Processing sequential data using RNNs, LSTMs and then will understand the workings of Vision Transformers and then will implement a model that can generate a descriptive caption for an image we provide it. <br> | ||
| This project will be very beneficial for those who want to do research in Transformer-based models in Open-source in upcoming years.</p> | ||
|
|
||
| <h3 id="pre-requisites">Pre-requisites</h3> | ||
|
|
||
| <ul> | ||
| <li> | ||
| <p>Strong Python Programming -> https://www.youtube.com/watch?v=rfscVS0vtbw</p> | ||
| </li> | ||
| <li> | ||
| <p>Good conceptual understanding of Linear Algebra concepts -> https://www.youtube.com/watchv=fNk_zzaMoSslist=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab</p> | ||
| </li> | ||
| <li> | ||
| <p>Good understanding of concepts taught in the Pixels workshop(Convolutions, playing with images etc.) -> https://drive.google.com/drive/folders/1vyaM4vVJF-gTf_5movE73Ve3Pq_SUFSt</p> | ||
| </li> | ||
| <li> | ||
| <p>Familiarity with neural networks -> https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi (Must Watch)</p> | ||
| </li> | ||
| </ul> | ||
|
|
||
| <blockquote> | ||
| <p>It is recommended that candidates interested in this project go through the above resources. This will give you an advantage over others during interview for this project.</p> | ||
| </blockquote> | ||
|
|
||
| <h3 id="references">References</h3> | ||
|
|
||
| <ul> | ||
| <li><a href="https://arxiv.org/abs/1706.03762" rel="external nofollow noopener" target="_blank">Explaination of SOTA Transformers model</a></li> | ||
| <li><a href="https://arxiv.org/abs/2010.11929" rel="external nofollow noopener" target="_blank">Vision Transformers</a></li> | ||
| </ul> | ||
|
|
||
| <h3 id="mentor">Mentor</h3> | ||
| <p>Aryan Nanda - [email protected]</p> | ||
|
|
||
| <blockquote> | ||
| <p>If you have any doubts regarding this project or any difficulty in understanding the pre-requisites videos you reach out to the mentor.</p> | ||
| </blockquote> | ||
| </body></html> |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -26,7 +26,7 @@ | |
| <!-- Fonts & Icons --> | ||
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@fortawesome/[email protected]/css/all.min.css" integrity="sha256-mUZM63G8m73Mcidfrv5E+Y61y7a12O5mW4ezU3bxqW4=" crossorigin="anonymous"> | ||
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/academicons.min.css" integrity="sha256-i1+4qU2G2860dGGIOJscdC30s9beBXjFfzjWLjBRsBg=" crossorigin="anonymous"> | ||
| <link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons"> | ||
| <link rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700%7CRoboto+Slab:100,300,400,500,700%7CMaterial+Icons"> | ||
|
|
||
| <!-- Code Syntax Highlighting --> | ||
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/jwarby/jekyll-pygments-themes@master/github.css" media="" id="highlight_theme_light"> | ||
|
|
@@ -126,6 +126,20 @@ <h1 class="post-title">Eklavya Projects</h1> | |
| <div class="grid"> | ||
| <!-- _includes/projects.html --> | ||
| <div class="grid-sizer"></div> | ||
| <div class="grid-item"> | ||
| <a href="/projects/ViT/"> | ||
| <div class="card hoverable"> | ||
| <div class="card-body"> | ||
| <h2 class="card-title text-wrap"></h2> | ||
| <p class="card-text"></p> | ||
| <div class="row ml-1 mr-1 p-0"> | ||
| </div> | ||
| </div> | ||
| </div> | ||
| </a> | ||
| </div> | ||
| <!-- _includes/projects.html --> | ||
| <div class="grid-sizer"></div> | ||
| <div class="grid-item"> | ||
| <a href="/projects/Evobourne/"> | ||
| <div class="card hoverable"> | ||
|
|
||