| Name | druida JSON |
| Version |
0.0.76
JSON |
| download |
| home_page | None |
| Summary | Metasurface-design artificial intelligence |
| upload_time | 2024-08-28 18:47:33 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.7 |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# DRUIDA
## _The master intelligence for metasurface design_
[](https://nodesource.com/products/nsolid)
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/
```sh
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:
```sh
node app
```
Second Tab:
```sh
gulp watch
```
(optional) Third:
```sh
karma test
```
#### Building for source
For production release:
```sh
gulp build --prod
```
Generating pre-built zip archives for distribution:
```sh
gulp build dist --prod
```
MIT
**Free Software, Hell Yeah!**
[//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)
[dill]: <https://github.com/joemccann/dillinger>
[git-repo-url]: <https://github.com/joemccann/dillinger.git>
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"description": "# DRUIDA\n## _The master intelligence for metasurface design_\n\n[](https://nodesource.com/products/nsolid)\n\nDruida is an artificial intelligence developed support the metasurfaces design process.\n\n- Generative pipelines for metasurfaces design\nThe goal is to provide a stable version of the most important algorithmic pipelines to train and deploy AI for metasurfaces design.\n\n## Features\n\n- Deep Neural Network Stack\n- GAN Generator Stack\n- GAN Discriminator Stack\n- Unconditional Diffusion Model\n- Conditional Diffusion Model\n\n## Goals\n> Configurable AI models\n> Easy to interface and use through jupyter notebooks.\n> Reproduceable models\n> API to future hyperparameters optimization\n\n\n\n## Tech\n\nDillinger uses a number of open source projects to work properly:\n\n- [Python] - Python 3.\n- [PyTorch] - The framework to build our algorithms.\n- [CLIP] - Pipelione to produce word encoding.\n\n\n## Installation\n\n\nInstall the dependencies and devDependencies and start the server.\nhttps://pypi.org/project/druida/\n\n```sh\npip install druida\n\n```\n\n## Plugins\n\nDillinger is currently extended with the following plugins.\nInstructions on how to use them in your own application are linked below.\n\n| Plugin | README |\n| ------ | ------ |\n| Dropbox | [plugins/dropbox/README.md][PlDb] |\n| GitHub | [plugins/github/README.md][PlGh] |\n| Google Drive | [plugins/googledrive/README.md][PlGd] |\n| OneDrive | [plugins/onedrive/README.md][PlOd] |\n| Medium | [plugins/medium/README.md][PlMe] |\n| Google Analytics | [plugins/googleanalytics/README.md][PlGa] |\n\n## Development\n\nWant to contribute? Great!\n\nDillinger uses Gulp + Webpack for fast developing.\nMake a change in your file and instantaneously see your updates!\n\nOpen your favorite Terminal and run these commands.\n\nFirst Tab:\n\n```sh\nnode app\n```\n\nSecond Tab:\n\n```sh\ngulp watch\n```\n\n(optional) Third:\n\n```sh\nkarma test\n```\n\n#### Building for source\n\nFor production release:\n\n```sh\ngulp build --prod\n```\n\nGenerating pre-built zip archives for distribution:\n\n```sh\ngulp build dist --prod\n```\n\n\nMIT\n\n**Free Software, Hell Yeah!**\n\n[//]: # (These are reference links used in the body of this note and get stripped out when the markdown processor does its job. There is no need to format nicely because it shouldn't be seen. Thanks SO - http://stackoverflow.com/questions/4823468/store-comments-in-markdown-syntax)\n\n [dill]: <https://github.com/joemccann/dillinger>\n [git-repo-url]: <https://github.com/joemccann/dillinger.git>\n",
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