skocevska / BSS-PLSR-for-Spectroscopy-Analysis
Blind Source Separation - Partial Least Squares Regression framework for spectroscopy mixture data, such as Raman and FTIR. The BSS code identifies the sources in the mixtures, which are then correlated with reference spectra of the chemical species. If the user has defined target species to be quantified, the signals of the non-target species c…
☆10Updated 3 years ago
Alternatives and similar repositories for BSS-PLSR-for-Spectroscopy-Analysis:
Users that are interested in BSS-PLSR-for-Spectroscopy-Analysis are comparing it to the libraries listed below
- Baseline correction, smoothing, processing and plotting of Raman spectra☆24Updated 10 months ago
- The purpose of this repository is to use Transfer Learning in order to classify patients affected by Amyotrophic Lateral Sclerosis using …☆12Updated 4 years ago
- Component Identification with Raman Spectroscopy Made Easy☆14Updated 3 months ago
- Deep-Learning-Based Components Identification for Raman Spectroscopy☆46Updated 5 years ago
- Partial Least Squares implementation in Python☆27Updated 8 months ago
- Raman-specctroscopy plot and baseline remove☆9Updated 7 years ago
- Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).☆64Updated 6 months ago
- A Universal and Accurate Method for Easily Component identification in Raman Spectroscopy Based on Deep Learning☆30Updated 6 months ago
- Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other t…☆17Updated last month
- Example of NIR spectrogram processing for regression using Python☆21Updated 6 years ago
- Chemometrics Toolbox for MATLAB☆12Updated 3 weeks ago
- baseline correction using adaptive iteratively reweighted Penalized Least Squares☆120Updated last year
- Using deep learning approaches and convolutional neural networks (CNN) for spectroscopical data (deep chemometrics)☆74Updated 6 years ago
- A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.☆22Updated this week
- Scripts and data for "Transfer Learning Based Raman Spectra Identification"☆22Updated 5 years ago
- Deep Convolutional Neural Networks for Raman Spectrum Recognition. (RRUFF dataset)☆31Updated 4 years ago
- Open Raman Processing Library☆37Updated 9 months ago
- DeepeR: deep learning enabled Raman spectroscopy☆82Updated last year
- ☆36Updated 3 years ago
- 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
- A Python library of algorithms for the baseline correction of experimental data.☆131Updated this week
- Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"☆100Updated 5 years ago
- Transfer via Extreme learning machine Auto-encoder Method (TEAM)☆19Updated 2 years ago
- Code for paper Extended Multiplicative Signal Augmentation: An alternative to pre-processing of infrared spectra☆14Updated 4 years ago
- pyChemometrics - Objects for multivariate analysis of chemometric and metabonomic datasets☆40Updated last week
- Deep CNN for Raman Applications☆47Updated 7 years ago
- A fast and efficient spectra standardization algorithm.☆11Updated 5 years ago
- Python library for chemometric data analysis☆32Updated 2 years ago
- Intelligent background-correction algorithm for highly fluorescent sample in Raman spectroscopy☆27Updated 5 years ago
- Implementation of the Data-Driven SIMCA method for MATLAB☆10Updated 4 years ago