implementation of several GANs with pytorch

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.

Deconvolution of Raman spectra

Raman spectral classification base on PyQt5

Generator useful to handle Raman spectra data augmentation for deep learning models

Baseline correction, smoothing, processing and plotting of Raman spectra

Efficiently compute off-resonance Raman spectra from first principles calculations (e.g. VASP) using polynomial models and ML/AI.

Automated all-functionals infrared and Raman spectra, and phonons.

A library for Raman spectroscopy harmonization

Orange workflow add-on for processing Raman spectra

Python-based tool for analyzing raw data from Raman mapping measurements

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

Predict the physical structure of graphene nanoribbons from Raman spectra via machine learning