Wheelodex » Projects » nymph

nymph

View on PyPI — Reverse Dependencies (0)

0.2.4 nymph-0.2.4-py3-none-any.whl

Wheel Details

Project: nymph
Version: 0.2.4
Filename: nymph-0.2.4-py3-none-any.whl
Download: [link]
Size: 25146
MD5: 1580a11b66c7766af13a5a32d08f4147
SHA256: 1c3e5678562667ebb558b4da691dbb8417dc2bda19db3a3f5424aaa8d7c3f1f0
Uploaded: 2020-09-01 08:53:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: nymph
Version: 0.2.4
Summary: General multi-feature classification library based on pytorch
Author: lightsmile
Author-Email: iamlightsmile[at]gmail.com
Home-Page: https://github.com/smilelight/nymph
License: Apache-2.0
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Libraries
Requires-Dist: tqdm (>=4.47.0)
Requires-Dist: lightUtils (>=0.1.13.1)
Requires-Dist: scikit-learn (>=0.23.1)
Requires-Dist: pandas (>=1.0.5)
Requires-Dist: numpy (>=1.19.0)
Requires-Dist: torch (>=1.4.0)
Requires-Dist: pytorch-crf (>=0.7.2)
Description-Content-Type: text/markdown
[Description omitted; length: 5508 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.35.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
nymph/__init__.py sha256=frcCV1k9oG9oKj3dpUqdJg1PxRT2RSN_XKdLCPjaYaY 2
nymph/core/__init__.py sha256=5FQ0s_2rPa2Vpj_dOhp6usXXAHPT9X-MBVVZLP2Uoqo 23
nymph/core/base.py sha256=6mfdI-bKGMrlrGaMMQSLuiagfYb4-F2OEz3-PiKUyBc 3492
nymph/core/config.py sha256=q27tsW4bxWGyXNfwMMMw5nIyzU-EBGxn4VK1mm8nDAM 264
nymph/data/__init__.py sha256=9Pgh260DfusmnDtDBbEi51DrF1p1YN5TH1e4Fr8XQ2Q 154
nymph/data/dataset.py sha256=MhspducC0KQHCYlb54f77WN3ThR6njx1uyaw1f4_BvM 2364
nymph/data/field.py sha256=Av6kFms8TTnbqtSSPMA_KyrXgu-nox21bjBx9AIh_q4 3798
nymph/data/processor.py sha256=IrxOGWXvTCLKNrTvUNxQtpmVvHkFd-Ita4ZAH1cv8jM 5277
nymph/data/scale.py sha256=TmRWRuc_ig_u9fiDrqDF1TuHRkiIbB1oVWZF8ySMtcY 741
nymph/data/tokenize.py sha256=VnyeTH-kmaFtKCstHWA8sZi4tzMo3I9Fqiitx2qHTdE 205
nymph/data/tool.py sha256=SiGtBvY6_4wbjLHY9x-vBT0e40akkpFUkXtzFmUkyQY 1185
nymph/data/vocab.py sha256=4oJqi0riHOC3jzC95hdxaB9NdZbl1zbfTUj-k62zMHE 3082
nymph/models/__init__.py sha256=5FQ0s_2rPa2Vpj_dOhp6usXXAHPT9X-MBVVZLP2Uoqo 23
nymph/models/bi_lstm_crf.py sha256=wk9GTJWRoSHs6o0WRIak7Hy6Bfc-LXPKDEoB5QNesb4 2353
nymph/models/linear.py sha256=8oxarWUmbrde2y1uWx5D794SbL_f42MYkW-AaQ_7KGM 1253
nymph/models/tool.py sha256=0LDEoeScDUq0zZ6Zd1hLVzWZqv3BjOwq36rcs5e124A 327
nymph/modules/__init__.py sha256=G2N5E9p8eHMZcoRaNDQ_nH_wVxYT9kxt0JRWTdhayxg 113
nymph/modules/norm_classifier.py sha256=WGWjZCsves03dFSeS3GnVmDh3PU71w-SObYn8wA0OrQ 7104
nymph/modules/seq_classifier.py sha256=5jl9gvXRldHxVCrQQWiSyMJxrTv-FR2LgC74zBk-MdU 7190
nymph/modules/tool.py sha256=XNa6kMi0H_QBTKZmyV6yuvglaTMgplvclwaAV18I09w 439
nymph/process/__init__.py sha256=lVL4VPz3c4kWCgjPtL4uuQLNmgwK92q1ffAsv5El02k 25
nymph/process/metric.py sha256=8mW04kLKY3bRvYLaClNOriwL1NRYl3yK8No_TgwQHEY 962
nymph/process/train.py sha256=1U92D2CFm7TqSehsgP052jovSYnAHlXPQx1y872t7VA 945
nymph/utils/__init__.py sha256=OxAN1ffQ9EQB667U8-lgLo8gjrQogRBQd0CRZA1eZEE 58
nymph/utils/seed.py sha256=gkcYc3_v2uuO765VjBUsVqCNJzRrv1jGT7vhDLe9n5s 191
nymph/utils/third/__init__.py sha256=kX6xOkb40bDEEa4OHIH7pB5YSjI8X0-QZFlkWeaZHC4 131
nymph/utils/third/doc_parse.py sha256=WMZ7-86FcBkrZPRs6gadLyXymDb39lPCB1CO_0auwH8 737
nymph/utils/third/pdf_parse.py sha256=HI_GB2QKiQDX_0G-z_gMv0QQgRs1-KOlqnGeqQiuIwo 1422
nymph-0.2.4.dist-info/LICENSE sha256=HrhfyXIkWY2tGFK11kg7vPCqhgh5DcxleloqdhrpyMY 11558
nymph-0.2.4.dist-info/METADATA sha256=nD2PWVzc1SEHCHHsFMn6ruZ7E-GpA0W_1gjKQhAxtGI 7547
nymph-0.2.4.dist-info/WHEEL sha256=D1Wh14kWDxPnrM-5t_6UCB-UuQNrEODtRa3vF4OsvQY 97
nymph-0.2.4.dist-info/top_level.txt sha256=MQAxiT3P7_QbADJ-UQjNddBlIpEF_-_ipFhkCQZu4Fg 6
nymph-0.2.4.dist-info/RECORD — —

top_level.txt

nymph