nsgln / Deep-Learning-Raman-SpectroscopyLinks
The purpose of this repository is to use Transfer Learning in order to classify patients affected by Amyotrophic Lateral Sclerosis using Raman Spectroscopy
☆12Updated 4 years ago
Alternatives and similar repositories for Deep-Learning-Raman-Spectroscopy
Users that are interested in Deep-Learning-Raman-Spectroscopy are comparing it to the libraries listed below
Sorting:
- We apply deep learning approaches to accurately identify 30 common bacterial pathogens, achieving an average isolate-level accuracy of ov…☆12Updated 4 years ago
- Deep-Learning-Based Components Identification for Raman Spectroscopy☆47Updated 5 years ago
- A Universal and Accurate Method for Easily Component identification in Raman Spectroscopy Based on Deep Learning☆31Updated 9 months ago
- Deep Convolutional Neural Networks for Raman Spectrum Recognition. (RRUFF dataset)☆32Updated 4 years ago
- Generator useful to handle Raman spectra data augmentation for deep learning models☆25Updated last year
- Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"☆103Updated 5 years ago
- Blind Source Separation - Partial Least Squares Regression framework for spectroscopy mixture data, such as Raman and FTIR. The BSS code …☆10Updated 3 years ago
- Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).☆66Updated 9 months ago
- Framework for Raman spectroscopy analysis☆14Updated last year
- Component Identification with Raman Spectroscopy Made Easy☆15Updated 5 months ago
- Raman-specctroscopy plot and baseline remove☆9Updated 7 years ago
- Baseline correction, smoothing, processing and plotting of Raman spectra☆25Updated last year
- Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other t…☆17Updated 2 months ago
- Deep CNN for Raman Applications☆48Updated 7 years ago
- PyTorch implementation of deep learning for Raman spectrum recognition: CNN, LSTM, Transformer, GNN and contrastive learning☆47Updated 4 months ago
- Open Raman Processing Library☆41Updated last year
- ☆12Updated 2 years ago
- A classification method for hyperspectral data based on convolutional neural networks (may be applicable to other spectra such as Raman s…☆11Updated 3 years ago
- DeepeR: deep learning enabled Raman spectroscopy☆86Updated last year
- Master's disseration source code to find peaks of Raman Spectroscopy of CZTS and fit Lorentzians to decompose the structure.☆40Updated 7 months ago
- Scripts and data for "Transfer Learning Based Raman Spectra Identification"☆24Updated 5 years ago
- Spectroscopy with Deep Learning☆30Updated 7 years ago
- RamanSPy: An open-source Python package for integrative Raman spectroscopy data analysis☆118Updated 2 months ago
- Implementation of the Data-Driven SIMCA method for MATLAB☆10Updated 4 years ago
- RamanNet: A generalized neural network architecture for Raman Spectrum Analysis☆19Updated 2 years ago
- Example of NIR spectrogram processing for regression using Python☆22Updated 6 years ago
- baseline correction using adaptive iteratively reweighted Penalized Least Squares☆122Updated last month
- a novel calibration model named SpectraTr, based on the transformer structure is proposed and used for the qualitative analysis of drug s…☆23Updated 2 years ago
- Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)☆74Updated 6 years ago
- Deep Learning models applied to the analysis of VIS-NIR spectral data☆126Updated 2 months ago