vision_transformers_explained
This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series published on Towards Data Science written by Skylar Callis.
Science Score: 62.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
✓Institutional organization owner
Organization lanl has institutional domain (www.lanl.gov) -
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.3%) to scientific vocabulary
Repository
This folder of code contains code and notebooks to supplement the "Vision Transformers Explained" series published on Towards Data Science written by Skylar Callis.
Basic Info
Statistics
- Stars: 83
- Watchers: 6
- Forks: 20
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
[//]: <> (THIS IS A MARKDOWN FILE, VIEW IN A MARKDOWN VIEWER OR CONVERT)
Vision Transformers Explained
This folder of code contains code and notebooks to supplement the Vision Transformers Explained series written by Skylar Callis for Towards Data Science. These articles can be read on Medium or in their equivalent Jupyter Notebook:
This project were developed by Skylar Callis while working as a post-bachelors student at Los Alamos National Laboratory (LANL) from 2022 - 2024. To see what they are up to these days, visit Skylar's Website .
The Vision Transformers Explained code has been approved by LANL for a BSD-3 open source license under O#4693. The written components have been approved for release as LA-UR-23–33876.
The GitHub page for this code can be found here.
Owner
- Name: Los Alamos National Laboratory
- Login: lanl
- Kind: organization
- Email: github-register@lanl.gov
- Location: Los Alamos, New Mexico, USA
- Website: https://www.lanl.gov/
- Repositories: 224
- Profile: https://github.com/lanl
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Vision Transformers Explained
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Skylar
family-names: Callis
email: sjcallis@lanl.gov
affiliation: Los Alamos National Laboratory
orcid: 'https://orcid.org/0009-0009-4133-377X'
repository-code: 'https://github.com/lanl/vision_transformers_explained'
url: >-
https://towardsdatascience.com/vision-transformers-explained-a9d07147e4c8
abstract: >-
This folder of code contains code and notebooks to
supplement the "Vision Transformers Explained" series
published on Towards Data Science written by Skylar
Callis.
keywords:
- machine learning
- pytorch
- vision transformers
- transformers
- attention
license: BSD-3-Clause
GitHub Events
Total
- Watch event: 28
- Fork event: 5
Last Year
- Watch event: 28
- Fork event: 5
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Skylar Callis | s****s@l****v | 29 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0