There are 5 repositories under raman topic.
Scientific analysis of nanoscale materials imaging data
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
A Python library of algorithms for the baseline correction of experimental data.
R functions for the chemometric analysis of spectra
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.
Python library for reading and writing scientific data format
Python package for read-only accessing the wdf Raman spectroscopy from Ranishaw WiRE software
A peak-fitting tool based on MATLAB for spectroscopic data analysis.
Spectra.jl aims at helping treatment of spectral (Raman, Infrared, XAS, NMR) data under the Julia language
Repository containing code for analysis of Raman and IR spectra datasets
specio: Python input/output for spectroscopic files
FOSS Resources for Spectroscopy
A Python framework for the batch processing and deconvolution of Raman spectra of carbonaceous materials.
hyperSpec: Tools for Spectroscopy (R package)
Jupyter Notebooks for spectroscopic data processing
Code for processing either Raman or SERS maps. Includes baseline correction, peak comparison, and post processing anaylsis.
Neural network classifier for Raman spectral data using TensorFlow
MicroRaman is an R package to process microbial Raman Spectroscopy data
Procedures (for IgorPro) to perform operations needed in day to day analysis of spectroscopic data. For example, Raman or infrared spectra where the data is structured as array of 1-D or 2-D waves.
This repository holds the source codes used for comparing the Generalised nonlinear Schrödinger equation (GNLSE) and the Banded nonlinear Schrödinger equation (BNLSE) in terms of frequency bands.
Similarity Assessment of Raman Arrays -- Quatitative matching scores between experimental and DFT Raman spectra using the WCCA metric
R package to convert raman data in .txt format exported from WiRe 5.2(Renishaw) and FIVE 5.1(WiTec) into the imzML data format.
This is my portfolio version 1, built with React.
Simulation of linear and nonlinear (Raman, Kerr) coupling in few-mode fibers