GitHub - SFETNI/Accelereation_of_simulations___Autoencoder_LSTM_Project: Integration of RNNs( LSTMs, GRUs et.), Autoencoders, and PCA for phase-field simulation learning and next-frame predictions.

SFETNI / Accelereation_of_simulations___Autoencoder_LSTM_Project Public

Notifications You must be signed in to change notification settings
Fork 1
Star 1

Integration of RNNs( LSTMs, GRUs et.), Autoencoders, and PCA for phase-field simulation learning and next-frame predictions.

1 star 1 fork Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
License		License
Original_dataset___npy_data		Original_dataset___npy_data
Python_scripts		Python_scripts
Saved_models		Saved_models
Slurm_scripts		Slurm_scripts
main_repository.png		main_repository.png
readme.txt		readme.txt

Repository files navigation

* The main Jupyter Notebook is 'Project_encoder_decoder_LSTM.ipynb'

* This Jupyter notebook is splitted into different python files to run idependently
the different parts of the project 

* References (to implement the numerical framework): details in 'Project_encoder_decoder_LSTM.ipynb'
https://stackabuse.com/autoencoders-for-image-reconstruction-in-python-and-keras/
https://python.hotexamples.com/fr/examples/features/-/get_features/python-get_features-function-examples.html
https://keras.io/examples/vision/conv_lstm/
https://pyquestions.com/how-to-standard-scale-a-3d-matrix
https://stackoverflow.com/questions/4813061/non-alphanumeric-list-order-from-os-listdir/48030307#48030307
https://www.kaggle.com/code/drscarlat/next-frame-video-prediction-keras/notebook