Science Score: 31.0%

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
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
Statistics
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  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/084-Variational-Transformer-Networks-for-Layout-Generation/blob/main/

# 

## Python 
 Python 3.10

## RICO 
[RICO ](http://www.interactionmining.org/rico.html) 

## 

1.  Conda 
   ```bash
   conda create -n your_env_name python=3.10
   ```

2. 
   ```bash
   conda activate your_env_name
   ```

3. 
   ```bash
   pip install -r requirements.txt
   ```
## 

```bash
python VAEP.py
```
## 

-  `requirements.txt` 

## 

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@misc{REPO084,
      title = "{Variational Transformer Networks for Layout Generation}", 
      author = "Diego Martin Arroyo and Janis Postels and Federico Tombari",
      year = "2021",
      eprint = "2104.02416",
      archivePrefix = "arXiv",
      primaryClass = "cs.CV",
      url = "https://arxiv.org/abs/2104.02416", 
}

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