SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
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Updated
Jun 3, 2024 - Python
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
Correlation for African Soil between chemistry and fertility data using Logistic Regression. Treatment of infrared (FTIR) spectra by machine learning.
A classification project to classify various caffeine products into coffee types using Fourier Transformed Infrared Spectroscopes of products.
Identification of functional groups present in an organic compound using Fourier Transformed Infrared spectroscopes performing FTIR-data-analysis and Chemometric analysis
The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
Manipulate with DRIFT-spectroscopy data
Algoritmo genético para encontrar os melhores atributos para classificação utilizando redes complexas
Jupyter notebook fitting reflectance and transmittance curves of unknown thin film on substrate obtained by Fourier Transform Infrared Spectroscopy to Lorentz and Brendel-Bormann oscillator models respectively
GUI for the data analysis of the "FTIR on Protein Secondary Structure" practical of the Institute of Applied Physics, Tübingen University.
A simple GUI tool to plot FTIR (Fourier transform infrared) spectroscopy data.
A python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
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