Quantum_Espresso_Colab VS BestPractices

Compare Quantum_Espresso_Colab vs BestPractices and see what are their differences.

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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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Quantum_Espresso_Colab

Posts with mentions or reviews of Quantum_Espresso_Colab. We have used some of these posts to build our list of alternatives and similar projects.

BestPractices

Posts with mentions or reviews of BestPractices. We have used some of these posts to build our list of alternatives and similar projects.
  • Ideas for Materials Science / Data Science projects
    1 project | /r/materials | 19 Feb 2021
    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?

When comparing Quantum_Espresso_Colab and BestPractices you can also consider the following projects:

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