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0.2.0 bioencoder-0.2.0-py3-none-any.whl

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Project: bioencoder
Version: 0.2.0
Filename: bioencoder-0.2.0-py3-none-any.whl
Download: [link]
Size: 47797
MD5: ea3552a1dcca9c619112af8dd91eeab4
SHA256: a4001e23acf1f61bbfdbee0987346bf71efb17f4ba5f1a2e5be009288eacac1c
Uploaded: 2024-04-18 21:47:01 +0000

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

METADATA

Metadata-Version: 2.1
Name: bioencoder
Version: 0.2.0
Summary: A metric learning toolkit
Author-Email: Arthur Porto <agporto[at]gmail.com>, Moritz Lürig <moritz.luerig[at]gmail.com>
Project-Url: Homepage, https://github.com/agporto/BioEncoder
Project-Url: Bug Tracker, https://github.com/agporto/BioEncoder/issues
Keywords: metric learning,biology
Requires-Python: ==3.9.*
Requires-Dist: albumentations (==1.3.0)
Requires-Dist: bokeh
Requires-Dist: faiss-cpu
Requires-Dist: ipywidgets
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pytorch-metric-learning (==2.0.1)
Requires-Dist: scikit-learn
Requires-Dist: streamlit-option-menu
Requires-Dist: tensorboard
Requires-Dist: timm
Requires-Dist: torch-ema (==0.3.0)
Requires-Dist: torch-lr-finder
Requires-Dist: torch-optimizer (==0.3.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5178 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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bioencoder/core/utils.py sha256=R_MvLbg6LZrT_2nxoyrPWodggbbN4knUsd3tuVv07io 21555
bioencoder/scripts/__init__.py sha256=4iFgiwFFou5iW-DW6gypv0ZLrbj6S3yLUJEkySQqngw 188
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bioencoder-0.2.0.dist-info/top_level.txt sha256=BFQI_kv5cgJQtCcD2ecQhQ2ZgcAWSfixWSixJOwSe9c 11
bioencoder-0.2.0.dist-info/RECORD — —

top_level.txt

bioencoder

entry_points.txt

[console_scripts]
bioencoder_configure = bioencoder.scripts.configure:cli
bioencoder_interactive_plots = bioencoder.scripts.interactive_plots:cli
bioencoder_lr_finder = bioencoder.scripts.lr_finder:cli
bioencoder_model_explorer = bioencoder.scripts.model_explorer_wrapper:cli
bioencoder_split_dataset = bioencoder.scripts.split_dataset:cli
bioencoder_swa = bioencoder.scripts.swa:cli
bioencoder_train = bioencoder.scripts.train:cli