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altaxo

Plotting and data analyzation with C# scripting

astroclip

Multimodal contrastive pretraining for astronomical data (not Raman, but spectra)

bacteria-id

Source code and demos for "Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning"

baselineremoval

Perform baseline removal, baseline correction and baseline substraction for raman spectra using Modpoly, ImodPoly and Zhang fit. Returns baseline-subtracted spectrum

baselinewavelet

Intelligent background-correction algorithm for highly fluorescent sample in Raman spectroscopy

boxsers

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

brukeropusreader

Python package for reading Bruker OPUS files.

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 can

calibrate

Calibrate Raman signal with Neon peaks

carspy

A python module for synthesizing and fitting experimental spectra obtained with Coherent Anti-Stokes Raman Spectroscopy (CARS).

deep-learning-raman-spectroscopy

The purpose of this repository is to use Transfer Learning in order to classify patients affected by Amyotrophic Lateral Sclerosis using Raman Spectroscopy

deepcid

Deep-Learning-Based Components Identification for Raman Spectroscopy

deeper

DeepeR: deep learning enabled Raman spectroscopy

deepraman

A Universal and Accurate Method for Easily Component identification in Raman Spectroscopy Based on Deep Learning

example-raman-spectral-analysis

General data analysis workflow for Raman spectra according to the manuscript 'Tutorial on Chemometric Analysis in Raman Spectroscopy: from Experimental Design to Machine Learning based Modelling'

exojax

🐈 Automatic differentiable spectrum modeling of exoplanets/brown dwarfs using JAX, compatible with NumPyro and JAXopt

fitpy

A Python package for fitting models to (spectroscopic) data.

gamma-mca

☢️📊 Progressive Web App MCA for gamma spectroscopy including file and live plot support via a serial interface.

graff-ms

Efficiently predicting high resolution mass spectra with graph neural networks

hilbert

Hilbert is a project that will contain numerous implementations (and approximations) of the discrete Hilbert transform.

hyperspectral-classification-cnn-pytorch

A classification method for hyperspectral data based on convolutional neural networks (may be applicable to other spectra such as Raman spectroscopy, laser- induced breakdown spectroscopy, etc.).

intensitycalbr

Intensity calibration procedure for spectrometers using multichannel detectors using spectroscopic intensity ratios as standards. (This is for relative intensity calibration and data from all available Raman bands are treated simultaneously to get wavelength/wavenumber dependent sensitivity after performing the established steps for intensity cali

libprofit

A C++ library that produces images based on different luminosity profiles

microorganisms-id

Source code and demos for "Optofluidic identification of single microorganisms using fiber-optical-tweezer-based Raman spectroscopy with artificial neural network"

mzkit

Data toolkits for processing NMR, MALDI MSI, MALDI single cell, Raman Spectroscopy, LC-MS and GC-MS raw data, chemoinformatics data analysis and data visualization.

neural-network-for-cancer-detection-using-raman-spectroscopy

(Capstone Project) Constructing a neural network for the autonomous detection of cancerous tissues.

nexus_definitions

Definitions of the NeXus Standard File Structure and Contents

nexusformat

Provides an API to open, create, plot, and manipulate NeXus data.

openspecy-package

Analyze, Process, Identify, and Share, Raman and (FT)IR Spectra