https://github.com/anthony-wang/BestPractices

Things that you should (and should not) do in your Materials Informatics research.
https://github.com/anthony-wang/BestPractices

best-practices common-pitfalls data-science example-code interactive-notebooks jupyter jupyter-notebooks machine-learning materials-informatics materials-science neural-networks python

Last synced: about 1 month ago
JSON representation

Things that you should (and should not) do in your Materials Informatics research.

• Host: GitHub
• URL: https://github.com/anthony-wang/BestPractices
• Owner: anthony-wang
• License: mit
• Created: 2020-05-05T19:41:25.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-11-17T02:58:25.000Z (about 1 year ago)
• Last Synced: 2024-08-02T19:01:52.283Z (5 months ago)
• Topics: best-practices, common-pitfalls, data-science, example-code, interactive-notebooks, jupyter, jupyter-notebooks, machine-learning, materials-informatics, materials-science, neural-networks, python
• Language: Jupyter Notebook
• Homepage: https://doi.org/10.1021/acs.chemmater.0c01907
• Size: 9.5 MB
• Stars: 164
• Watchers: 8
• Forks: 73
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

• best-of-atomistic-machine-learning - GitHub - 71% open · ⏱️ 17.11.2023): (Educational Resources)