semvec/pypi-packages huggingface dataset:
abraham_md 0.2.0
Converts University of Lincoln module files into a useful Obsidian Vault for keeping notes throughout the academic year, as well as revising at the end of an academic year.
License: MIT
Requires Python: <4.0,>=3.8

# abraham_md

![Continuous Integration (CI) Tests](https://github.com/unkokaeru/abraham-md/actions/workflows/continuous_integration.yml/badge.svg)

Converts University of Lincoln module files into a useful Obsidian Vault for keeping notes throughout the academic year, as well as revising at the end of an academic year.

## Installation

To install abraham_md, simply run:

```bash
pip install abraham_md
```

## Usage

After installation, you can use the package by executing:

```bash
abraham_md
```

## Features

- **Feature 1**: Description of feature 1.
- **Feature 2**: Description of feature 2.
- etc. - *to be filled in by the project maintainer*.

## Documentation
For more information, you can find the documentation within the `docs` directory or on the project's [GitHub Pages](https://unkokaeru.github.io/abraham_md/).

## Contributing

Contributions are welcome! Please refer to our `CONTRIBUTING.md` for more information.

## License

This project is licensed under the MIT License - see the `LICENSE.md` file for details.
automlmoo 0.0.1.2
A package for automatic modeling and optimize systems based on data
License: MIT
Requires Python: <3.10,>=3.7

# Automated Machine Learning and Multi-Objective Optimization
This package allows to automatically create data-driven models for each output of a dataset and ,then, also automatically, use them as objective functions in a predefined multi-objective optimization problem to find out optimal values for the inputs.