0.1.0

This is the initial release for deepflame-kit. It provides a structured python package to train a neural network for reacting flow.
Users are able to train a neural network predicting the change rate of each reacting species. The inference interface to deepflame is also provided.
The command-line interface and the framework are heavily based on Pytorch Lightning.

To-do

• Add inert gas processing: they should not be predicted as this might affects the accuracy significantly.
• Vanilla Pytorch inference: Currently constructing the model on infer still requires Lightning.

New Contributors

• @hanli94 made their first contribution in #1

Full Changelog: https://github.com/caic99/deepflame-kit/commits/0.1.0