Skip to main content

Metasurface-design artificial intelligence

Project description

DRUIDA

The master intelligence for metasurface design

N|Solid

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!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

druida-0.0.82.tar.gz (29.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

druida-0.0.82-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file druida-0.0.82.tar.gz.

File metadata

  • Download URL: druida-0.0.82.tar.gz
  • Upload date:
  • Size: 29.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for druida-0.0.82.tar.gz
Algorithm Hash digest
SHA256 02a8ea155fb6f41f99908f636cefb6838c7839c3690ab1facb6002a0e32431be
MD5 9e378c90fcab0581c7b042db7104eb46
BLAKE2b-256 40a95e17503086115593988a3d445a33412149b19e49dbe3f2c77da2b994f1ab

See more details on using hashes here.

File details

Details for the file druida-0.0.82-py3-none-any.whl.

File metadata

  • Download URL: druida-0.0.82-py3-none-any.whl
  • Upload date:
  • Size: 31.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.4

File hashes

Hashes for druida-0.0.82-py3-none-any.whl
Algorithm Hash digest
SHA256 11388c1fa7d44c129c98beaccca6ff5fd50ffbf2dbf925460b5b7147701e8142
MD5 373aa8c664e998513ec91e9b0dcb0777
BLAKE2b-256 0a2735f88a5d1e8cef9e3c062c4cdae90966af71196669cf8daae4d8239ddcd3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page