Neural Network input maker (NNimaker) documentation

This python package will detect the output of other codes (still Quantum Espresso) and create a json file (called data.json) that can be used as the raw input for Neural Networks.

Guidline for users:

• Quick start and run
  • Mandatory inputs
  • How to USE
• How to install
• Optional input

Your Contributions

We welcome and appreciate your contributions to advancing Artificial Neural Network research conducted by MaX and Cineca. Here’s how you can contribute:

1. Submit Your JSON File Share your data.json files to support our research. Use the following link to upload your file via Google Forms:

. Submit Your data.json files

2. Contribute to Development Help us grow by implementing new features or improving existing ones. Refer to our developer guide for details:

   Developers guide

   • Devepolers contrbution