Minerva is a framework for training machine learning models for researchers.

This project aims to provide a robust and flexible framework for researchers working on machine learning projects. It includes various utilities and modules for data transformation, model creation, and analysis metrics.

To install Minerva, you can use pip:

pip install .

docker pull gabrielbg0/minerva:latest

You can eather use Minerva's modules directly or use the command line interface (CLI) to train and evaluate models.

To train a model using the CLI, you can use any of the available pipelines. For example, to train a simple model using the Lightning module, you can run the following command:

python minerva/pipelines/simple_lightning_pipeline.py --config config.yaml

You can also use Minerva's modules directly in your code. Just import the module you want to use and call the desired functions.

This project is licensed under the MIT License. See the LICENSE file for details.

For any questions or concerns, please open an issue on our GitHub issue tracker.

If you want to contribute to this project make sure to read our Code of Conduct and Contributing pages.

This project is maintained by Gabriel Gutierrez, Otávio Napoli, Fernando Gubitoso Marques, and Edson Borin.