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0.0.1 neureca-0.0.1-py3-none-any.whl

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Project: neureca
Version: 0.0.1
Filename: neureca-0.0.1-py3-none-any.whl
Download: [link]
Size: 543044
MD5: 5be06f943771f820da9fe9d32d3b8c8c
SHA256: 143719e90554785d49e77a57c46d4263aad4ab0c76bc2a7e451d4b1615698d5c
Uploaded: 2021-08-24 11:48:08 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: neureca
Version: 0.0.1
Summary: A framework for building conversational recommender systems
Author: Hojin Yang
Author-Email: hojin.yang7[at]gmail.com
Home-Page: https://github.com/hojinYang/neureca
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Requires-Python: >=3
Requires-Dist: click (==7.1.2)
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Requires-Dist: joblib (==1.0.1)
Requires-Dist: numpy (==1.20.2)
Requires-Dist: pandas (==1.2.3)
Requires-Dist: pytorch-crf (==0.7.2)
Requires-Dist: pytorch-lightning (==1.2.7)
Requires-Dist: scikit-learn (==0.24.1)
Requires-Dist: scipy (==1.6.2)
Requires-Dist: sklearn (==0.0)
Requires-Dist: spacy (==3.0.6)
Requires-Dist: summarizers (==1.0.4)
Requires-Dist: tokenizers (==0.10.2)
Requires-Dist: toml (==0.10.2)
Requires-Dist: torch (==1.8.1)
Requires-Dist: TorchCRF (==1.1.0)
Requires-Dist: torchmetrics (==0.3.1)
Requires-Dist: tqdm (==4.60.0)
Requires-Dist: transformers (==4.5.0)
Requires-Dist: typer (==0.3.2)
Description-Content-Type: text/markdown
[Description omitted; length: 1400 characters]

WHEEL

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neureca-0.0.1.dist-info/RECORD — —

top_level.txt

demo-toronto
neureca

entry_points.txt

[console_scripts]
neureca-train = neureca.cmd:neureca_train_command