ElaraNet (Legacy)

Important notice: This is legacy research which is not up to date and has now been archived.

Neural network for spacetime metric optimization, implemented in TensorFlow. Paper available here.

Usage

Ensure you have SciPy, NumPy, TensorFlow, and Plotly installed. The Jupyter notebooks are organized as follows:

• To generate the dataset, use the generator notebook
• To train/use the NN, use the model notebook

Pre-generated data & models

A pre-generated dataset is available at sigma_data.csv. This is meant to be used in conjunction with the model notebook; alternatively, np.loadtxt() can be used to load it as an array. The dataset consists of two arrays: one of $\sigma$ values, and one of associated energy requirement values.

A pre-generated model is also available in the ./saved_models directory. It may be used in place of ElaraNet continaed in the model notebook in usage.