https://github.com/andrewrgarcia/materialsml
A Machine Learning Python package for materials informatics.
https://github.com/andrewrgarcia/materialsml
artificial-intelligence machine-learning materials materials-design materials-informatics neural-networks
Last synced: 3 months ago
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A Machine Learning Python package for materials informatics.
- Host: GitHub
- URL: https://github.com/andrewrgarcia/materialsml
- Owner: andrewrgarcia
- License: mit
- Created: 2023-01-09T00:04:08.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-05T02:10:46.000Z (10 months ago)
- Last Synced: 2025-01-16T15:26:50.340Z (4 months ago)
- Topics: artificial-intelligence, machine-learning, materials, materials-design, materials-informatics, neural-networks
- Language: Python
- Homepage: https://pypi.org/project/materialsml/
- Size: 3.75 MB
- Stars: 1
- Watchers: 4
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# materialsML
A Machine Learning package for materials informatics. A crafty data analysis complement to the materials database from [The Materials Project](https://materialsproject.org)
## Getting Started
## Local Installation and Usage
```ruby
pip install materialsml
```
It is recommended to run this package using a `virtualenv` virtual environment. To do so, follow the below simple protocol to create the virtual environment, run it, and install the package there:
```ruby
virtualenv venv
source venv/bin/activate
pip install materialsml
python [your-script.py]
```
To exit the virtual environment, simply type `deactivate`. To access it at any other time, type `source venv/bin/activate` on the directory containing the `venv` folder.
## viewer (in development)
## Disclaimer: Use At Your Own Risk
This program is free software. It comes without any warranty, to the extent permitted by applicable law. You can redistribute it and/or modify it under the terms of the MIT LICENSE, as published by Andrew Garcia. See LICENSE below for more details.
[](http://badges.mit-license.org)
**[MIT license](./LICENSE)** Copyright 2023 © Andrew Garcia.