Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
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Updated
Aug 20, 2024 - Jupyter Notebook
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
curve fitting (peak fitting) software
Scientific analysis of nanoscale materials imaging data
🌱 A fast line-by-line code for high-resolution infrared molecular spectra
Python module for OceanOptics spectrometers
(Legacy project) A modular laboratory experiment management suite, predecessor to qudi-core.
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
A Python library of algorithms for the baseline correction of experimental data.
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
pyMCR: Multivariate Curve Resolution for Python
Spectroscopy lock application using RedPitaya
ChiantiPy is a python package to calculate the radiative properties of astrophysical plasmas based on the CHIANTI atomic database
library for reading files with x-y data from powder diffraction, spectroscopy, or other experimental methods
Processing and visualization tools for quantitative MRI data
Tools for the reduction of spectroscopic observations from Optical and NIR instruments
R functions for the chemometric analysis of spectra
Python package for reading Bruker OPUS files.
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
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