Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
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Updated
Nov 25, 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
Processing and visualization tools for quantitative MRI data
Tools for the reduction of spectroscopic observations from Optical and NIR instruments
library for reading files with x-y data from powder diffraction, spectroscopy, or other experimental methods
Python package for reading Bruker OPUS files.
R functions for the chemometric analysis of spectra
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
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