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https://github.com/kjappelbaum/aeml
https://github.com/kjappelbaum/aeml
Last synced: about 1 month ago
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- Host: GitHub
- URL: https://github.com/kjappelbaum/aeml
- Owner: kjappelbaum
- License: mit
- Created: 2022-02-10T21:39:40.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-08-26T22:49:34.000Z (4 months ago)
- Last Synced: 2024-08-27T01:39:12.716Z (4 months ago)
- Language: Jupyter Notebook
- Size: 21.6 MB
- Stars: 5
- Watchers: 3
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.rst
- License: LICENSE
Awesome Lists containing this project
README
aeml
Predict amine emissions of industrial processes using machine learning
## 💪 Getting Started
Check out some notebooks in the `/paper` directory.
## 🚀 Installation
The most recent code and data can be installed directly from GitHub with:
```bash
$ pip install git+https://github.com/kjappelbaum/aeml.git
```
To install in development mode, use the following:
```bash
$ git clone git+https://github.com/kjappelbaum/aeml.git
$ cd aeml
$ pip install -e .
```
## 👐 Contributing
Contributions, whether filing an issue, making a pull request, or forking, are appreciated. See
[CONTRIBUTING.rst](https://github.com/kjappelbaum/aeml/blob/master/CONTRIBUTING.rst) for more information on getting involved.
## 👋 Attribution
### ⚖️ License
The code in this package is licensed under the MIT License.
### 🍪 Cookiecutter
This package was created with [@audreyfeldroy](https://github.com/audreyfeldroy)'s
[cookiecutter](https://github.com/cookiecutter/cookiecutter) package using [@cthoyt](https://github.com/cthoyt)'s
[cookiecutter-snekpack](https://github.com/cthoyt/cookiecutter-snekpack) template.