Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
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Updated
Jun 1, 2023 - Python
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
Python module for OceanOptics spectrometers
A modular laboratory experiment management suite.
pyMCR: Multivariate Curve Resolution for Python
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.
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
R functions for the chemometric analysis of spectra
Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)
An interactive astronomical 1D spectra analysis tool.
Tools for the reduction of spectroscopic observations from Optical and NIR instruments
A simple longslit spectroscopy pipeline in Python
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