https://github.com/diwakar-346/doodlevae
Yet another disentangled VAE ... but for quick drawing doodles
https://github.com/diwakar-346/doodlevae
deep-learning doodle face generative-ai latent-space latent-variable-models nn pytorch quickdr quickdraw-dataset vae vae-pytorch
Last synced: 7 months ago
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Yet another disentangled VAE ... but for quick drawing doodles
- Host: GitHub
- URL: https://github.com/diwakar-346/doodlevae
- Owner: Diwakar-346
- Created: 2025-04-03T21:44:32.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-07-14T05:38:39.000Z (8 months ago)
- Last Synced: 2025-07-14T06:04:09.919Z (8 months ago)
- Topics: deep-learning, doodle, face, generative-ai, latent-space, latent-variable-models, nn, pytorch, quickdr, quickdraw-dataset, vae, vae-pytorch
- Language: Python
- Size: 1.15 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DoodleVAE - Yet Another Disentangled VAE for Quick Drawing Doodles
Welcome to the DoodleVAE repository! In this project, we focus on creating a Variational Autoencoder (VAE) specifically designed for quick drawing doodles. Our aim is to provide a simple and effective tool for anyone interested in generating doodle-like images using deep learning techniques.
### Topics
- deep-learning
- doodle
- face
- generative-ai
- latent-space
- latent-variable-models
- ml
- nn
- pytorch
- quickdr
- quickdraw-dataset
- vae
- vae-pytorch
For the latest updates and releases, you can visit [Releases](https://github.com/Diwakar-346/doodleVAE/releases).
### Why DoodleVAE?
DoodleVAE stands out as a versatile and user-friendly tool for creating doodle-like images. Our focus on disentangled representations allows for more control over the generated images, making it a valuable asset for both beginners and experienced deep learning enthusiasts.
### Features
- **Simplified Interface**: Our VAE implementation offers an intuitive interface for generating doodles with minimal effort.
- **Latent Space Exploration**: Easily explore the latent space to modify and generate diverse doodle images.
- **PyTorch Implementation**: Leveraging the power of PyTorch for efficient deep learning model training.
### How to Use DoodleVAE
1. **Clone the Repository**
```bash
git clone https://github.com/Diwakar-346/doodleVAE.git
```
2. **Install Dependencies**
Make sure to install the necessary Python packages by running:
```bash
pip install -r requirements.txt
```
3. **Generate Doodles**
Run the provided scripts to train the VAE model and generate doodle images effortlessly.
### Example Doodles
Here are some examples of doodle images generated using DoodleVAE:
### Contribute
If you are interested in contributing to DoodleVAE, feel free to fork the repository and submit a pull request with your enhancements. We welcome any improvements or additions that can benefit the community.
### Get in Touch
Have questions or suggestions? Reach out to us at [doodlevae@gmail.com](mailto:doodlevae@gmail.com). We value your feedback and strive to make DoodleVAE a valuable tool for all doodle enthusiasts.
Thank you for exploring DoodleVAE - your go-to tool for quick drawing doodles!
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