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scivae

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1.1.0 scivae-1.1.0-py3-none-any.whl

Wheel Details

Project: scivae
Version: 1.1.0
Filename: scivae-1.1.0-py3-none-any.whl
Download: [link]
Size: 66208
MD5: 50abe32235cfa4475dd1ee83e11bfa97
SHA256: bdd73496bae34ebeaa99bd2fde87ac51f4a65ec6104d862bcc477692acf0b15a
Uploaded: 2022-12-02 02:16:55 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: scivae
Version: 1.1.0
Author: Ariane Mora
Author-Email: ariane.n.mora[at]gmail.com
Home-Page: https://github.com/ArianeMora/scivae
Project-Url: Bug Tracker, https://github.com/ArianeMora/scivae/issues
Project-Url: Documentation, https://github.com/ArianeMora/scivae
Project-Url: Source Code, https://github.com/ArianeMora/scivae
License: GPL3
Keywords: util
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: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.8
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: Keras (>=2.4.3)
Requires-Dist: Keras-Applications (>=1.0.8)
Requires-Dist: matplotlib (>=3.3.3)
Requires-Dist: sciutil
Requires-Dist: pyswarm
Requires-Dist: scikit-learn
Requires-Dist: tensorflow (>=2.9)
Requires-Dist: tensorflow-probability
Requires-Dist: seaborn
Requires-Dist: sciviso (>=1.0.3)
Requires-Dist: statsmodels
Requires-Dist: jupyterlab
Description-Content-Type: text/markdown
[Description omitted; length: 5095 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
scivae/__init__.py sha256=eH7irBdO46Pp_jo7kAl3pDooEyBxgnM8AYBT2P1LoJc 1790
scivae/conv_vae.py sha256=Dm63SlOIRHrxvVm_q_EHnyLlqauXfrteMdH8C36bQ7Y 9332
scivae/loss.py sha256=WjbumKHDeLShTxS30rGVfGm_9UPvMUDmBfS_eK9RBRs 19323
scivae/main.py sha256=NJHd_Ed7UPpbM96TQmMkIQrn2oVdau9Gqnsl1yz9WJE 5603
scivae/optimiser.py sha256=Fp807WFftTvgM0HUATi7BHe-9ggyqfEsXGwRxhRGrRI 19223
scivae/run_test.py sha256=LXfciqYYdZ6rxSXLH5WFAsORWqJ2BbIK-qfyFGJS02o 1117
scivae/sampler.py sha256=xedSngMNcMNNI7PmhzvTpzn1R3t_PwzaKTv8Len67V8 2015
scivae/save.py sha256=eFzFYAlArn6HnDrJbC9B_uJTyyE8_QH6Os-EtLP1Upw 7119
scivae/stats.py sha256=Cc-OvH_U4VvuThHI9ynD2Tn2pWmr604W1y9bHldoev4 12274
scivae/sup_vae.py sha256=G9JwOAYNXZbyhjiJnteHXMQw78jrs3KPwTAVRy5JrEA 5595
scivae/util.py sha256=E_a6J7NAtZU7Y8VuqY9MbfcuuofUXjRWJ1DrmkoL30Y 1425
scivae/vae.py sha256=hz4cCARHqyOXLff9q50G5hckYaCLQYpvzjMZ2yDsY4E 30015
scivae/validate.py sha256=okRiEruxXJnSjQZ5smT5Rbjx0gqvW5NGs6OCuD5BBLM 5032
scivae/vis.py sha256=QJPWd6Nv9-vq71gG8ZdJQN7qgW8ZPdsH672WRJSQE6k 21111
scivae-1.1.0.data/data/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
scivae-1.1.0.dist-info/LICENSE sha256=OXLcl0T2SZ8Pmy2_dmlvKuetivmyPd5m1q-Gyd-zaYY 35149
scivae-1.1.0.dist-info/METADATA sha256=VeV3p3Rn_DdPLKQEXqazvhJIUOLNsH9eU5D3O24_of4 6413
scivae-1.1.0.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
scivae-1.1.0.dist-info/entry_points.txt sha256=HpmPoThVXgBsgAVaRJqbLwgYuD7Lb91uRF3yC-03H94 49
scivae-1.1.0.dist-info/top_level.txt sha256=7UWs5TW_9FKy5-4fSPjhueZHPH9GkP9rtG9RCNLa2HQ 7
scivae-1.1.0.dist-info/RECORD — —

top_level.txt

scivae

entry_points.txt

[console_scripts]
scivae = scivae.__main__:main