Quantum_Espresso_Colab
BestPractices
Quantum_Espresso_Colab | BestPractices | |
---|---|---|
1 | 1 | |
6 | 157 | |
- | - | |
6.0 | 2.8 | |
6 months ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Quantum_Espresso_Colab
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Quantum Espresso on Google Colaboratory (Colab)
I'd like to share an example Colab notebook to show how to use atomistic modeling software Quantum Espresso (QE) on Google Colaboratory.
BestPractices
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Ideas for Materials Science / Data Science projects
My research group recently wrote the definitive best practice guide for getting into this field. We provide a GitHub with some example data that you could take a look at. The code snippets will be really useful because we have them really well commented. https://github.com/anthony-wang/BestPractices
What are some alternatives?
colab-vscode - ✨ 1-Click Free GPU on VS Code with Google Colab
nbdev - Create delightful software with Jupyter Notebooks
colabcat - :smiley_cat: Running Hashcat on Google Colab with session backup and restore.
fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
py - Repository to store sample python programs for python learning
pymatgen - Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
jupytemplate - Templates for jupyter notebooks
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks
jupyter-memgraph-tutorials - Learn to use Memgraph and GQLAlchemy quickly with the help of Jupyter Notebooks [Moved to: https://github.com/memgraph/jupyter-memgraph-tutorials]
machine-learning-experiments - 🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo