Wheelodex » Projects » multi-task-nmt-lawhy

multi-task-nmt-lawhy

View on PyPI — Reverse Dependencies (0)

0.1.3 multi_task_nmt_lawhy-0.1.3-py3-none-any.whl

Wheel Details

Project: multi-task-nmt-lawhy
Version: 0.1.3
Filename: multi_task_nmt_lawhy-0.1.3-py3-none-any.whl
Download: [link]
Size: 2763931
MD5: 1f385ad2710d2ac7a220138b3e5c7094
SHA256: 137fcd6cd3b55572113815b9ddb8111c93b3c9c4def649a84b51675552382858
Uploaded: 2020-06-25 22:36:02 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: multi-task-nmt-lawhy
Version: 0.1.3
Summary: Pytorch Implementation of the Multi-task Neural Machine Transliteration System
Author: Yuan (Lawrence) He
Author-Email: lawhy0729[at]gmail.com
Home-Page: https://github.com/Lawhy/Multi-task-NMT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: torchtext (>=0.5.0)
Requires-Dist: torchvision (>=0.5.0)
Requires-Dist: python-Levenshtein (>=0.12.0)
Requires-Dist: pandas (>=1.0.3)
Description-Content-Type: text/markdown
[Description omitted; length: 379 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mnmt/__init__.py sha256=aqN7R3_O6Mrp7iPiVmsAtnV4K_lsnVgQrz7lrKxSum0 328
mnmt/alternating_character_table/__init__.py sha256=XaR2KzJ-PFM6wFx-1ueYlkHw52aqdprPXzk3gnXvHAk 211
mnmt/alternating_character_table/act.py sha256=TxKJxNQ5YswFSjQzxNss1J5Jgv6D2reHucntSDwQgFw 2699
mnmt/alternating_character_table/dict_act.xlsx sha256=gphJtZHRPJYAaKaFjoCW7aKAErYKslSLVyfTFJsaoq0 5918
mnmt/attention/__init__.py sha256=D2pWLcjFtVHp5rm5tPAtyBlfbaZE_FZGXo65iwOHkTo 115
mnmt/attention/additive_attention.py sha256=gOoyMrrPVtWb0kgJU9BPVOP_WavJqXyACSjKepZW8GU 2924
mnmt/attention/attention.py sha256=HFQANoNiYCqEebAQ3SF0CEkrt_LQm7dUYnRJLPC36qQ 1896
mnmt/datasets/__init__.py sha256=d_ER3gabAZyvthFp0rkJ15KIaGKH4f7FBG9EjFl_ER8 1057
mnmt/datasets/dict_data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mnmt/datasets/dict_data/test.tsv sha256=XIzirL0VKYcFvsYNoRL_iaxu3lUGYWVX5O-gwECPUKY 304689
mnmt/datasets/dict_data/train.tsv sha256=SlEzRJ1V4eeX_zrc1PoH9ELf_s0bdeN9SiUq5ftYQxo 2433728
mnmt/datasets/dict_data/valid.tsv sha256=dA9u8K2ImykgkMhaqE-o82ZE4i1SLIPcFXFh_Q31fzw 304446
mnmt/datasets/news_data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mnmt/datasets/news_data/test.json sha256=F8PZ9zVSjvdNiBY7odZHrBdc1o54CAoW7MWtjK-HnNs 36330
mnmt/datasets/news_data/test.tsv sha256=sWiOUtRUwEjzZuTwdyRDgVsX7w74N0JKJMjgi1i3maw 53012
mnmt/datasets/news_data/train.tsv sha256=2F2zhUIigdIYTp7BQW2RXJzyTHCGI3QwTELsOmyAD78 4320280
mnmt/datasets/news_data/valid.tsv sha256=eiA-kIbeEaR16A8XdEkf4D6QPE3lucuqKEHVwGBYE5Q 27747
mnmt/decoder/__init__.py sha256=cOBA8XjbJsMhbXqVmxso5jYK6wWDXM5gA6CgUFuejyY 281
mnmt/decoder/basic_decoder.py sha256=W-NaizjKqAbDtte5W6s3P-IYmHE5i18kjbLn9CtDPLc 1460
mnmt/decoder/basic_feed_forward_decoder.py sha256=-queUzFVCrq7UXBcFmnXcYekTVgIGQlUdH5TwXPFvxM 3508
mnmt/decoder/beam_decoder.py sha256=i5Fp84AA4ArPDmtfUkeEsaKv4texJLVfdw4wbEcst0Q 11367
mnmt/decoder/beam_decoder_batch.py sha256=7M2EWuZkFhZMTNXTCJmZ0p2prXaR55YOeGhW-q6wg18 6664
mnmt/decoder/beam_decoder_old.py sha256=7ERcwYZ75s0TKh3rXuq7G3fMgbqNIbTazSCDvDjKAgc 16496
mnmt/decoder/bridge.py sha256=K6w0XUnBCJsLvcnVnTnBnT7Q-EVMJ6vg1wh6WwatwTk 1210
mnmt/decoder/greedy_decoder.py sha256=KlGrvlTn8Kwc9FFmAmmnHfVM60weZMet3oMfQy2J8Z4 1863
mnmt/encoder/__init__.py sha256=ttu-45pIiE-uzYMiD7Wwtbet-5qF8IAtTl3S14xOoiA 53
mnmt/encoder/basic_encoder.py sha256=UoA6xr20LbzuQtmhh7k_C-X-icEIWTJAsZYRJZmRa2A 3299
mnmt/inputter/__init__.py sha256=UpKFW0b-BnGU4pyXsujmnJG8r6gcUcttJ7_KTjnAXRo 247
mnmt/inputter/arguments_feeder.py sha256=ggQxkdmToqaySAk6vuUUoG9bDCaZ7uT1rvWm96tUhgI 3070
mnmt/inputter/batch_generator.py sha256=-W4TFvOsIXWeSNBdORjqePxeOWYi009YTxLxfAxNELw 749
mnmt/inputter/data_container.py sha256=Ngo69xJsRiPlU2Ol8ScHzPf3pNC1wc0OBFASkwSQSXo 3226
mnmt/inputter/module_arguments_feeder.py sha256=54ImB40THER5qKPPKYwbjkOyHTqCLsf9CFHhlEcQTcQ 1507
mnmt/inputter/trainer_arguments_feeder.py sha256=1kHlJE4L0xLXCRaVTMBAgIk6fC9GVG4BXt9RviBrnKk 66
mnmt/model/__init__.py sha256=COzGe20jyLhS7WlqxIz7-CehdXG7v58_MrF1jGcCCK0 104
mnmt/model/basic_seq2seq.py sha256=WGzCuE6klw9WU2MrXE1i3V1PvNS40wzuowT3oUcfBMk 914
mnmt/model/multi_task_seq2seq.py sha256=C7qnVKSiF1NnRIbCO1Lyb8l3bUOeyPf3pQpcgOGjViY 1137
mnmt/trainer/__init__.py sha256=qLe1kx-oTz1FpkpEd1pwmkA4iIhmvAGqJbGAVOL3o8w 42
mnmt/trainer/trainer.py sha256=oruSfpXuHDeCJ6fW2eXT9sWyNlKvQJ_xd3GKzZWIiBw 25080
mnmt/trainer/utils.py sha256=SbnCU9xQGwiea7-Hw5pXgaPyMqZBl1uxUE4gZVoah1M 2373
mnmt/translator/__init__.py sha256=ygbtGKuAIbwtccViGkOHdnJgm5nFizRmLUef9aJWDEM 128
mnmt/translator/basic_translator.py sha256=gDmbRuU2p_-uuVpAHOKucFkLWrwuMx7YzM4Ko_p49uI 2124
mnmt/translator/seq2seq_translator.py sha256=WBzNEckHh_O31HdVhGlZASYSZ6txMBVFkie6E-pBMvA 973
multi_task_nmt_lawhy-0.1.3.dist-info/LICENSE sha256=hgbMySAlJaoEyx5CVyuw_SxKYCw-NqmojMRz4rfmMGc 1094
multi_task_nmt_lawhy-0.1.3.dist-info/METADATA sha256=eSp0QcmVLo_2lsQEvf-WKHfkuRIyxpXypmW7CdPKOOQ 1037
multi_task_nmt_lawhy-0.1.3.dist-info/WHEEL sha256=U88EhGIw8Sj2_phqajeu_EAi3RAo8-C6zV3REsWbWbs 92
multi_task_nmt_lawhy-0.1.3.dist-info/top_level.txt sha256=3j12e70VzV6pTIMRT7EPWhYtftJThCsIA9lEIDEs1dc 5
multi_task_nmt_lawhy-0.1.3.dist-info/RECORD — —

top_level.txt

mnmt