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0.1.26 emsigma-0.1.26-py3-none-any.whl

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Project: emsigma
Version: 0.1.26
Filename: emsigma-0.1.26-py3-none-any.whl
Download: [link]
Size: 42245
MD5: e845f3e839f2ffe1860d3d5280f781ad
SHA256: 1387188b6d4c6f782021855b2de0d56368ba7286b01e47adc910a8c4a7e8860a
Uploaded: 2022-04-20 11:04:46 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: emsigma
Version: 0.1.26
Summary: spectral interpretation using gaussian mixtures and autoencoder
Author: Po-Yen Tung
Author-Email: pyt21[at]cam.ac.uk
Home-Page: https://github.com/poyentung/sigma
License: GNU GPLv3
Keywords: hyperspectral imaging analysis,energy dispersive x-ray spectroscopy,scanning electron microscopy,gaussain mixture,autoencoder,non-negative matrix factorization
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.7
Requires-Dist: notebook
Requires-Dist: torch (>=1.10.0+cu111)
Requires-Dist: hyperspy (>=1.6.5)
Requires-Dist: ipywidgets
Requires-Dist: lmfit (>=0.9.12)
Requires-Dist: matplotlib (>=3.2.2)
Requires-Dist: numba
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: scipy
Requires-Dist: tqdm (>=4.62.3)
Requires-Dist: seaborn (>=0.11.2)
Requires-Dist: plotly (>=4.4.1)
Requires-Dist: altair (>=4.2.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3253 characters]

WHEEL

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Tag: py3-none-any

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emsigma-0.1.26.dist-info/RECORD — —

top_level.txt

sigma