ALebrun-108/BoxSERS
Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).
This tool helps scientists and researchers analyze vibrational spectra, such as Raman, SERS, or FTIR data. You input your raw spectral data, and it provides processed spectra, visualizations, and classifications, enabling you to extract meaningful insights from complex spectroscopic measurements. It's designed for anyone working with spectral analysis who needs to clean, augment, or apply machine learning to their data.
No commits in the last 6 months. Available on PyPI.
Use this if you need a comprehensive solution for processing vibrational spectra, from baseline correction and smoothing to data augmentation, dimensionality reduction, and machine learning classification.
Not ideal if you need to create your spectroscopic database from scratch or if you primarily work with spectral data formats not supported by common Python libraries.
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74
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15
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 25, 2024
Commits (30d)
0
Dependencies
9
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