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asmscan-lstm

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1.0.0 asmscan_lstm-1.0.0-py3-none-any.whl

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Project: asmscan-lstm
Version: 1.0.0
Filename: asmscan_lstm-1.0.0-py3-none-any.whl
Download: [link]
Size: 78868
MD5: 1dfb167401244af925226e307ce7d616
SHA256: 543dc0a538643a5fe8f6fe655144b6b85a4d14f2eaf5cc0e45f1a40e76745416
Uploaded: 2023-02-14 23:29:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: asmscan-lstm
Version: 1.0.0
Summary: Bidirectional LSTM model for detection of amyloid signaling motifs.
Author: Jakub Gałązka
Author-Email: kubagalv2[at]gmail.com
Home-Page: https://github.com/jakub-galazka/asmscan-lstm
License: GNU General Public License v3 (GPLv3)
Keywords: bidirectional lstm,amyloid signaling motifs
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.7
Requires-Dist: tensorflow (==2.11.0)
Requires-Dist: progress (==1.6)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1078 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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asmscanlstm/model.py sha256=D19a826yRvHcUKdrdl2XXUAsTHxI-FYtkNuEGNJN-Rs 3762
asmscanlstm/resources/tokenizer.pickle sha256=v7ZdwDVWpyLk5A1qcb-H-1ymJgXh1XxTnjqXeAb5h7I 1094
asmscanlstm/resources/model/architecture.txt sha256=OtUoO7C4hDcXoOW6XjT48Eq3tmmIZjNNCELdrcIJ3vY 1505
asmscanlstm/resources/model/config.json sha256=uHQdDQABW-8UyK_noxjKq7nKM2j7ZdqgsFn_QBn0rAM 79
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asmscan_lstm-1.0.0.dist-info/RECORD — —

top_level.txt

asmscanlstm