druida

DRUIDA

The master intelligence for metasurface design

Druida is an artificial intelligence developed support the metasurfaces design process.

• Generative pipelines for metasurfaces design The goal is to provide a stable version of the most important algorithmic pipelines to train and deploy AI for metasurfaces design.

Features

• Deep Neural Network Stack
• GAN Generator Stack
• GAN Discriminator Stack
• Unconditional Diffusion Model
• Conditional Diffusion Model

Goals

Configurable AI models Easy to interface and use through jupyter notebooks. Reproduceable models API to future hyperparameters optimization

Tech

Dillinger uses a number of open source projects to work properly:

• [Python] - Python 3.
• [PyTorch] - The framework to build our algorithms.
• [CLIP] - Pipelione to produce word encoding.

Installation

Install the dependencies and devDependencies and start the server. https://pypi.org/project/druida/

pip install druida

Plugins

Dillinger is currently extended with the following plugins. Instructions on how to use them in your own application are linked below.

Plugin	README
Dropbox	[plugins/dropbox/README.md][PlDb]
GitHub	[plugins/github/README.md][PlGh]
Google Drive	[plugins/googledrive/README.md][PlGd]
OneDrive	[plugins/onedrive/README.md][PlOd]
Medium	[plugins/medium/README.md][PlMe]
Google Analytics	[plugins/googleanalytics/README.md][PlGa]

Development

Want to contribute? Great!

Dillinger uses Gulp + Webpack for fast developing. Make a change in your file and instantaneously see your updates!

Open your favorite Terminal and run these commands.

First Tab:

node app

Second Tab:

gulp watch

(optional) Third:

karma test

Building for source

For production release:

gulp build --prod

Generating pre-built zip archives for distribution:

gulp build dist --prod

MIT

Free Software, Hell Yeah!