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DeepSecE

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0.1.0 DeepSecE-0.1.0-py3-none-any.whl

Wheel Details

Project: DeepSecE
Version: 0.1.0
Filename: DeepSecE-0.1.0-py3-none-any.whl
Download: [link]
Size: 9381
MD5: 09336ce883f4cdd17478e18a195e1c54
SHA256: e49c04e988fd64018902f3738cff4dc52842a4061704b8129616a564572caf2c
Uploaded: 2022-08-29 07:22:40 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: DeepSecE
Version: 0.1.0
Summary: A Deep Learning Framework for Multi-class Secreted Effector Prediction in Gram-negative Bacteria.
Author: Yumeng Zhang
Home-Page: https://github.com/zhangyumeng1sjtu/DeepSecE
License: MIT
Requires-Dist: torch
Requires-Dist: biopython
Requires-Dist: einops
Requires-Dist: fair-esm
Requires-Dist: tqdm
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: tensorboardX
Requires-Dist: umap-learn
Requires-Dist: warmup-scheduler
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 6696 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
DeepSecE/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
DeepSecE/dataset.py sha256=8YydHq-SZn2H8kFyYbIb1IXsbI_SWQAzoCMhRd_GhEk 2002
DeepSecE/model.py sha256=ev6hdGtljP72u87YWAA3a9EZ4RmJ2eDglzyfjCRGjPk 3521
DeepSecE/module.py sha256=mT_fjBUWbHZUXgumzAzuBUHy6IPqeCtdO4-XUUGLenk 2856
DeepSecE/trainer.py sha256=rMo2km6LoAkWmF-hzUnuh4A3cJbrfK57ANc4BQ-jKFA 3119
DeepSecE/utils.py sha256=n39qTQRRoAA5owe2kGFhPPe0Pez-DTTCDjOncjs3Fls 1736
DeepSecE-0.1.0.dist-info/LICENSE sha256=JOpDC17xknQxRKiDkyHF8R7chO67PVNM-AlImsc7tJk 1069
DeepSecE-0.1.0.dist-info/METADATA sha256=TiBzbKtlGHVqkKteUMqDMl2B3dxiMN7Z4YrFGfF8WIE 7322
DeepSecE-0.1.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
DeepSecE-0.1.0.dist-info/top_level.txt sha256=SFW_bVZ0Unpw0hpRJIW0x3DbXHxvN3gS_eZKLVdkG5s 9
DeepSecE-0.1.0.dist-info/RECORD — —

top_level.txt

DeepSecE