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1. Hyperparameter_Optimization_of_CNN_for_Retrieving_Raman_from_CARS Hyperparameter_Optimization_of_CNN_for_Retrieving_Raman_from_CARS Public

   In this research, a convolutional neural network model, SpecNet, has been optimiezed through its all hyperparameters to improve the extraction of Raman signal from the input CARS spectrum!

   Jupyter Notebook

2. Four-DL-models-comparison-for-evaluating-CARS Four-DL-models-comparison-for-evaluating-CARS Public

   Forked from Junjuri/Four-DL-models-comparison-for-evaluating-CARS

   Evaluating DL models (CNN, AE, LSTM, & BI-LSTM) for efficient extraction of Raman signals from CARS spectra

   Python

3. NRBs-on-the-extraction-of-Raman-from-CARS NRBs-on-the-extraction-of-Raman-from-CARS Public template

   Forked from Junjuri/LUT

   Effect of non-resonant background on the extraction of Raman signals from CARS spectra using deep neural networks

   Python

4. finetuned_SpecNet-for-extracting-Raman-from-CARS finetuned_SpecNet-for-extracting-Raman-from-CARS Public

   Fine-Tuning a convolutional neural network (CNN) to improve the extraction of the Raman signal from the input coherent anti-Stokes Raman scattering (CARS) spectra!

   Jupyter Notebook