Metadata-Version: 2.4
Name: glair
Version: 1.0
Summary: GLAIR - An AI model for Glioblastoma Latent-space Artificial Intelligence Rendering
Author: Josh Stanley
License: MIT
Project-URL: Homepage, https://github.com/joshstanley/glair
Project-URL: Repository, https://github.com/joshstanley/glair
Keywords: glioblastoma,AI,tumor progression,machine learning,healthcare,tensorflow
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown

#GLAIR: Glioblastoma A.I for developers

GLAIR is a dual-interface deep learning architecture for Glioblastoma rendering. It supports many different models including Generative Variational Autoencoders for time series progression prediction, and convolutional neural networks for tumor classification. As part of our open source mission, this backend serves as a portal for accessing GLAIR's models and architecture through Python. 

##Installation

###Install with pip

```sh

pip install glair

#and run with

import glair

```

This project is licensed under the **MIT LICENSE**
