SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
Perform baseline removal, baseline correction and baseline substraction for raman spectra using Modpoly, ImodPoly and Zhang fit. Returns baseline-subtracted spectrum. Please give proper citation as specified in the documentation if it has helped you.
Raman spectral classification base on PyQt5
Baseline correction, smoothing, processing and plotting of Raman spectra
Generator useful to handle Raman spectra data augmentation for deep learning models
Efficiently compute off-resonance Raman spectra from first principles calculations (e.g. VASP) using polynomial models and machine learning..
A library for Raman spectroscopy harmonization
Automated all-functionals infrared and Raman spectra, and phonons.
Orange workflow add-on for processing Raman spectra
This is the Code and Data repository the RamPINN AISTATS 2026 publication. It shows a physics-informed CARS to Raman recovery strategy without needin the NRB.
Interactively analyze single-cell Raman spectra data based on R/Shiny
Official implementation for paper "VECTOR: Very Deep Convolutional Autoencoders for Non-Resonant Background Removal in Broadband Coherent Anti-Stokes Raman Scattering"
Python code to identify and calculate decomposition of materials using Raman spectroscopy
A CLI tool for automated mineral identification from Raman mapping data
Predict the physical structure of graphene nanoribbons from Raman spectra via machine learning
A DIY 3D printed Raman system with a CCD spectrometer. Adjustment-free.
This repository aims to assist students and researchers from the in the field of archaeometry in analyzing their data obtained from different analytical techniques. This repository in particular will be focused on Raman plots.
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