Wheelodex » Projects » nmtpytorch

nmtpytorch

View on PyPI — Reverse Dependencies (0)

4.0.0 nmtpytorch-4.0.0-py3-none-any.whl

Wheel Details

Project: nmtpytorch
Version: 4.0.0
Filename: nmtpytorch-4.0.0-py3-none-any.whl
Download: [link]
Size: 168615
MD5: 520dd8c820a33215b3f94cc33d5d5540
SHA256: 47147d91e03de1e004aae54c1693406e1e535dc553ac0465a9fafe3d566e22e2
Uploaded: 2018-12-18 16:55:05 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: nmtpytorch
Version: 4.0.0
Summary: Sequence-to-Sequence Framework in Pytorch
Author: Ozan Caglayan
Author-Email: ozan.caglayan[at]univ-lemans.fr
Home-Page: https://github.com/lium-lst/nmtpytorch
Project-Url: Wiki, https://github.com/lium-lst/nmtpytorch/wiki
License: MIT
Keywords: nmt neural-mt translation sequence-to-sequence deep-learning pytorch
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: POSIX
Requires-Python: ~=3.6
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: tqdm
Requires-Dist: pillow
Requires-Dist: torch (==1.0.0)
Requires-Dist: torchvision (==0.2.1)
Requires-Dist: sacrebleu (>=1.2.9)
Requires-Dist: tensorboardX (==1.1)
Requires-Dist: editdistance (==0.4)
Requires-Dist: subword-nmt (==0.3.5)
Description-Content-Type: text/markdown
[Description omitted; length: 20136 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.32.3)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
nmtpytorch/__init__.py sha256=61rJjfThnbRdElpSP2tm31hPmFnHJmcwoPhtqA0Bi_Q 22
nmtpytorch/cleanup.py sha256=AnXuimg8xyU1s_FzWIdBaACCmCy-vUxad7fo5BVrPiM 2806
nmtpytorch/config.py sha256=iR35LdsTwclQM68a7ZoWb4ajp8dGo_j_JRY7Yynpqe0 7654
nmtpytorch/evaluator.py sha256=_uiFrIKuHfMV_gZtpbwNPDYFxkZ0_SZQ79-AJysRXcU 1414
nmtpytorch/logger.py sha256=IySvu76vw0Rsxpg9Cf5HCtNQG368ifZ8XdvKEg_Xs7Y 733
nmtpytorch/mainloop.py sha256=6fulr9TQiDIkYuZGcF_1QmX_GRfKheWxfPcWoL13wxE 12609
nmtpytorch/monitor.py sha256=s4_oo7RQNSWWf14fiR9bILfZ84iBEfioNgULGSFsjvk 5959
nmtpytorch/optimizer.py sha256=KBwpO-IHw9_8bGPQFxZRkF0THPeNcJfUjvIgb90Kn8k 4965
nmtpytorch/search.py sha256=Vi2Z_QYcIxBI1LunFw-dSangXNcmQGceD54zBzP0nhI 7811
nmtpytorch/tester.py sha256=TTNuwMcwIZSVqM056SHrMsshki18YaMW2gJj_FfE6p8 3922
nmtpytorch/translator.py sha256=38Z5MX09u1U_9eaIsjBhiC1O7l3SWc1KQdTyjmlK3so 6374
nmtpytorch/vocabulary.py sha256=gJQbS3KY97fHu6PtulOFInNb1TShWAV8Lpp8A0AzlrI 3476
nmtpytorch/cocoeval/__init__.py sha256=1RZIPSjKYeHtVGWOFQFj01JN9H7LsirEeiBEnyqY254 145
nmtpytorch/cocoeval/bleu/__init__.py sha256=0C6R_hJbgubl8GQriX90OQlFBtBvMncbQNABcN646uE 21
nmtpytorch/cocoeval/bleu/bleu.py sha256=P6_TPxQuyJgjuiX98CvGLPtSlQT0fC-ukmql0xHW4dU 1193
nmtpytorch/cocoeval/bleu/bleu_scorer.py sha256=wRYFvosR9xhDcwI173EcSwhhUoQ_o29ibPiW_Oa9O20 8829
nmtpytorch/cocoeval/cider/__init__.py sha256=0C6R_hJbgubl8GQriX90OQlFBtBvMncbQNABcN646uE 21
nmtpytorch/cocoeval/cider/cider.py sha256=KKrMQG1WNNABXBmbD_TOtpjnb49CKOg8uzdQw8V6wVM 1667
nmtpytorch/cocoeval/cider/cider_scorer.py sha256=9GxCBh9c_bdw8yoITSiVEizIjYeijzsVWkuFGloi1mc 7665
nmtpytorch/cocoeval/meteor/__init__.py sha256=0C6R_hJbgubl8GQriX90OQlFBtBvMncbQNABcN646uE 21
nmtpytorch/cocoeval/meteor/meteor.py sha256=yQQCoehGdzSXox1BAw1sHTSEXTKIyN39xtLi4uPCf6o 2510
nmtpytorch/cocoeval/rouge/__init__.py sha256=LRCYk0zfez5kjIhwiUKYeCjW6xxKDGQFFXC9IiVm1O0 23
nmtpytorch/cocoeval/rouge/rouge.py sha256=m_WvfaIt-Glc5JpScoubvEV276We8_jSjjfOhQC-dUQ 3662
nmtpytorch/datasets/__init__.py sha256=4hszRUxu1xdUAPIB5iDxcgeb40pSgcYHtRXxodZmzLk 753
nmtpytorch/datasets/collate.py sha256=REV0J52SyasLtvPrpGtXt71T0g2J72NGyyQlNivr4r4 1232
nmtpytorch/datasets/imagefolder.py sha256=daQEt26k9Ov8WEMXtcL60d2y7MuX9IpMnuS2Bh_qZSk 3396
nmtpytorch/datasets/kaldi.py sha256=_Mhwm2zo2g_uSV4Lb3X6oVfSdeMrKI1x4cuKxbknQfY 2588
nmtpytorch/datasets/label.py sha256=q0Mp3pSuKfrDCRwFSdfll_UiKLRaxap86gm4tsZBjYA 1580
nmtpytorch/datasets/multimodal.py sha256=xw9xH6ZzNnEhklIuKfUeQlxI6gSK5_oqMS50lbM2690 5855
nmtpytorch/datasets/numpy.py sha256=pLq33N04XwbM3F2gUJxb0d4LE4A_IRZd6BX7p20KWTw 2350
nmtpytorch/datasets/numpy_sequence.py sha256=2Oc1r7PRmvZ30EtAxlI8Ri0_rNLFOzlO4NW20-TiqWg 3158
nmtpytorch/datasets/onehot.py sha256=bl9ucx3rWGEFPZO5EmGAYvK2n5ikzvviW-kmZwcMxOw 1778
nmtpytorch/datasets/shelve.py sha256=pQJAIiiVBZcQVbj1JfaLDKlmiYlvP4D_Ad29nSuyzpg 2261
nmtpytorch/datasets/text.py sha256=hQPAceC2rZb6aKql5-YZnON3HOKB2OkgUrb7vpVVmnI 1766
nmtpytorch/layers/__init__.py sha256=OQhrEn9nIZcZMok2GOFXGxNWs5quRRHV3JoYZEkp5C0 450
nmtpytorch/layers/embedding.py sha256=HtobQu1quPs0ligSffF3hCfrqOy_cyBr0vP3AvB04k4 1824
nmtpytorch/layers/ff.py sha256=W7titz5quUWsQdheJm4UM-yKbn0Pir9t7rh3qbz43TU 2163
nmtpytorch/layers/flatten.py sha256=ylKIC0DRrBvMYEaxNQwqFYcESeh-XXI1DmKOfq6Pj2g 271
nmtpytorch/layers/fusion.py sha256=P2FKho0kDOdXq1CkBO4IgZ7tdE4rXdcjLag7ygOyxLo 1710
nmtpytorch/layers/max_margin.py sha256=L2_OCnaeFp0wZUrSyFR3_4n5Pxik53VIjaUhtDx5ukw 2490
nmtpytorch/layers/rnninit.py sha256=-NpKzzK-rfX2-C_jIc0bpsSLL1YKjQj8nLGekXOa3bs 3239
nmtpytorch/layers/seq_conv.py sha256=gL4wTH9KKcJ35ywhmgJdxE4rF8wkQ5YXofEVl4fMumI 1827
nmtpytorch/layers/z.py sha256=-tJmiKhLgrz-JOMjD6M16hEztgnOdVnV6TalHhrcheo 3046
nmtpytorch/layers/z_att.py sha256=BSleTTwwsXLosFRNfiz_o4tza7Xs7jWy-4-lwzJieUY 8309
nmtpytorch/layers/attention/__init__.py sha256=tfQF6vWnTgj2lbWkI8fXSL4HahD_hcIEERQ6iwFtMkg 391
nmtpytorch/layers/attention/co.py sha256=0_034mI02gIpH3EDuc88eSbTYC1AWhkkgHQBrs-O_Bw 2475
nmtpytorch/layers/attention/dot.py sha256=9dF9NHMyCZL5XsxB9Xuf5yKU-rz_lT2672VIxgMEfXo 3249
nmtpytorch/layers/attention/hierarchical.py sha256=wr4WBMYcI-b9Ip5gW6UPw8-w-RoAVLH7kQKOIuhXl5s 1476
nmtpytorch/layers/attention/mhco.py sha256=8bFbJRqyiGFNI7AdocpfO5HGX1b7FA8JQuh_C3viy0Y 3507
nmtpytorch/layers/attention/mlp.py sha256=grxSzjFPjwiv5iYf0YYza_JMLGdtLgdDQMITGwD6aYg 2478
nmtpytorch/layers/decoders/__init__.py sha256=ITSjME2oF2Th7I2XhkrO0j0_cY0eFoM6n-Z3AUHm_Ys 577
nmtpytorch/layers/decoders/conditional.py sha256=lH33_s5tnAZX08GdoEUMjkoeu78QR1CeJsf5nQevD4U 9807
nmtpytorch/layers/decoders/conditionalmm.py sha256=_IoiEfj768frGJAi8_Xr2A0IXIKoPRYkKNBp4FGelws 2840
nmtpytorch/layers/decoders/multisourceconditional.py sha256=3425m589FkShSPyq3d8JmFlfZcizWG8AgFyvORCmwhI 2701
nmtpytorch/layers/decoders/simplegru.py sha256=r0tZTV-4QWHFILZfjklN88_-46QBNWJPqabFVShGZP4 1562
nmtpytorch/layers/decoders/switchinggru.py sha256=dsmf_v9XWH53wDC8JzAL-ysnTL26AuQ64AC_A15bAmQ 4589
nmtpytorch/layers/decoders/vector.py sha256=Vf4Gal2wWPAfmOQIYk0QmoS89TmwCjCe44n1RqQ8ePQ 1173
nmtpytorch/layers/decoders/xu.py sha256=5pPhHKG_aP6JN6urNENgj_ZFi6ehe2wceEkPnVLdGVA 7030
nmtpytorch/layers/encoders/__init__.py sha256=fovBU2XmscWfFAGqoIZJnltHfbO7_mWiJxxnyVdE-5g 228
nmtpytorch/layers/encoders/bilstmp.py sha256=ruPygi1UQBHFQcKStfVhAL_XMpXizN99fK7TA5HCloM 3201
nmtpytorch/layers/encoders/feature.py sha256=unFxODLBSJmraQlW-bEiFiHtQ_EeeDvDYC7WhsXFehQ 4548
nmtpytorch/layers/encoders/image.py sha256=gQvSKxzpxwE81Z9iaCTkT1NXgwXVvZoH5Uat1vGiDUg 9405
nmtpytorch/layers/encoders/multimodal_bilstmp.py sha256=mg306dKwRCMf_zGb-bBVazPaCSJSWa3e0on-PPTw5p8 5159
nmtpytorch/layers/encoders/multimodal_text.py sha256=bnEg-J3U7c6wEnbQQkCoKvwpI0mFjz-mEJcFOD17310 5308
nmtpytorch/layers/encoders/text.py sha256=_WxaSRsoQKc0L7W_zyOfgABtzNjct27p5AGVTGeo_RI 5493
nmtpytorch/lib/multi-bleu.perl sha256=aOHGvwZEsvLojKzQ675kTckhcdGi_u6pE7uAn40Iee0 5141
nmtpytorch/metrics/__init__.py sha256=b8sueYt8A010xCNf9PhWTXUIZU6pBPnXb181-6KncoU 465
nmtpytorch/metrics/cer.py sha256=gYb-TeZbdCTSEDPpNq9SU2qRtNw12RSYABjKFos-AvU 1645
nmtpytorch/metrics/meteor.py sha256=YrogiyAh0ly1Hcyz-ZdfAjueZKyB_JUdI9kWtoo40do 2439
nmtpytorch/metrics/metric.py sha256=_6BxDe9BhF56I6pOW_EPbZ_KTDPdjZRWW1iap1qMToA 1087
nmtpytorch/metrics/multibleu.py sha256=9tOgrEGdfD3ZbL3CUvj6zy9VkyudeNWBdq2hihzEbRc 1386
nmtpytorch/metrics/rouge.py sha256=sRnuWkMIFF6XkXnoaFMbC8_LqMdy9gRnCCSPCQSTQmQ 924
nmtpytorch/metrics/sacrebleu.py sha256=CMcxedVfiDTqPQQ13GrSVpt90FGFILzdOv9IE_I5bvE 1126
nmtpytorch/metrics/wer.py sha256=MD-_cQd6OWpr5w6MuGbDW6zLpTzE-tNHVhNmfh2b-XU 1084
nmtpytorch/models/__init__.py sha256=SDqBrW3A8wGcdImbq7Fy1SsCjzdgoNmJByzCUl1lIiM 786
nmtpytorch/models/acapt.py sha256=QblfibiqQBI9GKkI9AJ6IA-lYHr01OTYgCWY0Yupuv8 8948
nmtpytorch/models/amnmtfeats.py sha256=OgiuZnNw8vckNyV2kVoIVUu712jykUCBHFj8l2jYHZY 4277
nmtpytorch/models/amnmtfeats_fa.py sha256=CKQFpHmLB51FmkOVZpvRj9FM6_o2OnXTJLvyRtMjfnU 2164
nmtpytorch/models/amnmtraw.py sha256=Eo6uw3NoHitC6XBNh5qDvNPvrS8_0XktArYXu2-svok 5932
nmtpytorch/models/asr.py sha256=YbaTlJSJ2hU9C_DlEU_MhR4RmnxZJIZNCXCmkV6B8l0 9971
nmtpytorch/models/mnmt.py sha256=5Uv9tBWcVkW9hoxcUna9fN8rxMvyNdgJxYVabnw_5-E 4658
nmtpytorch/models/multimodal_asr.py sha256=NjP4r9HUCQNPPQSCn7VPQTJSOM9m6lK4JqyhLO8z33A 5996
nmtpytorch/models/multitask.py sha256=UfVOuw8oaU2z0C0fejx4nn3XKHpIWh940WLBycjBFiQ 16949
nmtpytorch/models/multitask_att.py sha256=IwiuADjugMWr_D8-mQJe9mkMn-taCQ4eD7hDhD4IyQ0 35383
nmtpytorch/models/nli.py sha256=bHGGZb8-5NK_6zbar_8xK0Jol4eakZSZBuHiO1Yc33E 7372
nmtpytorch/models/nmt.py sha256=-B8jBwr_LvBzXmzQcPVZjQAJFq9pW0ZWGiYOzono77E 11036
nmtpytorch/models/sat.py sha256=oY4tGycxXtrKqdk7YQZUbq8WFu2N49oSI3FfnzrqrTI 6386
nmtpytorch/samplers/__init__.py sha256=vnTkU8RM9GGuslqgkWd8Q-tP8mbVJwzNSiY4o4BHPVY 113
nmtpytorch/samplers/approx.py sha256=N-baBSQb650DsOnG1-oNKO72kTIVtKNKcRtb7m5ncSg 4533
nmtpytorch/samplers/bucket.py sha256=ZGqB6QHMRl68BqUSuzq7tmW_0mR-jgj6jlxFbCbmHhQ 5114
nmtpytorch/utils/__init__.py sha256=sjUknArIkdptElfl29s49_4TNWF3x0im2oH-Y7zAdXw 74
nmtpytorch/utils/data.py sha256=QqF2X0S0sH4ajOSf0QdFVf-Nks_-63o1Jfa9o8HtfWo 2490
nmtpytorch/utils/device.py sha256=U2iZcLidiQm7y1Y0yQ3d88fWzuN6JNJ2XjS_PadUAiU 3448
nmtpytorch/utils/filterchain.py sha256=G-9EbMV3gmNLORNOKQaH_YehlnpqQQ1-lxgZAy1cnCI 3532
nmtpytorch/utils/io.py sha256=u6iqFf4LV-MIDCQ6VTlhkhuU54CtOsajf2mZbBMuWi0 703
nmtpytorch/utils/kaldi.py sha256=Z5Xo2putBK8N9PpTm7n2k-db6d1PgFZ8wJMENZzVuJ4 6062
nmtpytorch/utils/misc.py sha256=bNycEnaSvB8nCIBPG2FNMSn_PFBfrFUkefiVnhzefds 8358
nmtpytorch/utils/ml_metrics.py sha256=O4QhQpF0v9-ofPYjB_YidFJyl-yjOJ2kcrUxHBNdGYo 3133
nmtpytorch/utils/nn.py sha256=sKGQbFiPBxlO-eFfEVsii5IVtgC0Shtvd7hV3kisVVs 1013
nmtpytorch/utils/scheduler.py sha256=AhI0TmpDyauc8u4-SutafiK3_xyCnmK84EDP4JIwBa4 6857
nmtpytorch/utils/tensorboard.py sha256=IQ8MezOh4lWDj4eCohcpnjeGP5o6pvVZU3JKh1K6_vg 2606
nmtpytorch/utils/topology.py sha256=A2FxfOMKSXNdWAgv-Ymoi36GA96q6oEunGH60L44nsU 3554
nmtpytorch-4.0.0.data/scripts/nmtpy sha256=1-FOd_YBnPyBoxHT7TKlVMH7sHRHZmBcExWgAZoSXZY 7491
nmtpytorch-4.0.0.data/scripts/nmtpy-build-vocab sha256=aSNuaeAz-mT5dplgPJKDOr29v3cQUfnvzJS1S3Kq5cc 4602
nmtpytorch-4.0.0.data/scripts/nmtpy-ckpt-info sha256=tXaYR6tQGpWngAWnKRPUqkN9s9Dvbs3l4d60mt0O9LU 1337
nmtpytorch-4.0.0.data/scripts/nmtpy-coco-metrics sha256=_0aP-Aet_feyGG2qe6E--uWidAESK09InPAkwV7Bvhg 2807
nmtpytorch-4.0.0.data/scripts/nmtpy-install-extra sha256=whLwq-r8W6X5EoGyhS8UTMSBTck5WdIRkq35C430Bbs 476
nmtpytorch-4.0.0.dist-info/LICENSE.md sha256=fWyZgZJE65BndM6MB36eI4NNW4_MteUfq3qpniPWPNE 1535
nmtpytorch-4.0.0.dist-info/METADATA sha256=yuRSf5A_hAwMAcZJ5poSCJ18tX2kCfAlwGy89dima84 21210
nmtpytorch-4.0.0.dist-info/WHEEL sha256=_NOXIqFgOaYmlm9RJLPQZ13BJuEIrp5jx5ptRD5uh3Y 92
nmtpytorch-4.0.0.dist-info/top_level.txt sha256=z-Y91bkY9_So783tkVC7E6pjFwutEockg5dvGsfARk4 11
nmtpytorch-4.0.0.dist-info/RECORD — —

top_level.txt

nmtpytorch