Skip to content

Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.

Notifications You must be signed in to change notification settings

mohiuddinrazu/cres_trigger

Repository files navigation

cres_trigger

Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.

About

Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published