https://github.com/PPPLDeepLearning/plasma-python
PPPL deep learning disruption prediction package
https://github.com/PPPLDeepLearning/plasma-python
deep-learning keras plasma-physics rnn tensorflow
Last synced: 10 days ago
JSON representation
PPPL deep learning disruption prediction package
- Host: GitHub
- URL: https://github.com/PPPLDeepLearning/plasma-python
- Owner: PPPLDeepLearning
- Created: 2016-11-06T03:50:53.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-03-13T07:48:25.000Z (over 2 years ago)
- Last Synced: 2025-05-23T21:41:14.505Z (about 1 month ago)
- Topics: deep-learning, keras, plasma-physics, rnn, tensorflow
- Language: Python
- Homepage: http://tigress-web.princeton.edu/~alexeys/docs-web/html/
- Size: 2.89 MB
- Stars: 83
- Watchers: 9
- Forks: 42
- Open Issues: 22
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-ml-in-plasma-physics - FRNN (Fusion Recurrent Neural Network) - Deep learning package for tokamak disruption prediction using recurrent neural networks with stateful LSTM training, multi-machine capabilities, and TensorBoard integration (PPPL) (Tools / Machine Learning Frameworks for Plasma Physics)
- awesome-ml-in-plasma-physics - FRNN (Fusion Recurrent Neural Network) - Deep learning package for tokamak disruption prediction using recurrent neural networks with stateful LSTM training, multi-machine capabilities, and TensorBoard integration (PPPL) (Tools / Machine Learning Frameworks for Plasma Physics)