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1. data-resources-for-materials-science data-resources-for-materials-science Public

   A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

   264 43

2. Quantum_Espresso_Colab Quantum_Espresso_Colab Public

   This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.

   Jupyter Notebook 9 3

3. vae_cahn-hilliard vae_cahn-hilliard Public

   Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys

   Jupyter Notebook 4

4. normalization-frc normalization-frc Public

   Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites

   Python 3

5. dcgan_cahn-hilliard dcgan_cahn-hilliard Public

   Generative model Deep Convolutional Generative Adversarial Networks (DCGAN) implementation for the predictions of phase separation in binary alloys

   Jupyter Notebook 2

6. tricks_for_efficient_pytorch tricks_for_efficient_pytorch Public

   Some tricks to speed up the codes written with PyTorch library.

   Jupyter Notebook