https://github.com/codersomya/pinns

Stands for Physics Informed Neural Networks. Physical Information in the form of differential equations can be used to regularize neural networks. This repo is a collection of exercises relating to the same.
https://github.com/codersomya/pinns

energy-methods neural-networks optimization-algorithms physics

Last synced: about 1 year ago
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Stands for Physics Informed Neural Networks. Physical Information in the form of differential equations can be used to regularize neural networks. This repo is a collection of exercises relating to the same.

• Host: GitHub
• URL: https://github.com/codersomya/pinns
• Owner: coderSomya
• Created: 2024-09-01T17:59:48.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-02-08T16:20:34.000Z (over 1 year ago)
• Last Synced: 2025-02-08T17:25:51.058Z (over 1 year ago)
• Topics: energy-methods, neural-networks, optimization-algorithms, physics
• Language: Jupyter Notebook
• Homepage: https://colab.research.google.com/drive/1AX5j2EFp8oDGntW9TBwh0krog3oRgomG#scrollTo=Vtt_lBQMl2gb
• Size: 12.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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Stands for Physics Informed Neural Networks. Physical Information in the form of differential equations can be used to regularize neural networks. This repo is a collection of exercises relating to the same.