Wheelodex » Projects » yonlu

yonlu

View on PyPI — Reverse Dependencies (0)

1.1.22 yonlu-1.1.22-py3-none-any.whl

Wheel Details

Project: yonlu
Version: 1.1.22
Filename: yonlu-1.1.22-py3-none-any.whl
Download: [link]
Size: 196247
MD5: f0bcd28452bb47c715c3dfe3fa476967
SHA256: e0d4a1da5953833ace3cb5acbfb2617bee965d522683a97e2089a10804fd2044
Uploaded: 2022-11-29 08:47:58 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: yonlu
Version: 1.1.22
Summary: A deep learning based natural language understanding module
Author: Min Song
Author-Email: min.song[at]yonsei.ac.kr
Home-Page: https://github.com/MinSong2/yonlu
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Requires-Dist: cython
Requires-Dist: seqeval
Requires-Dist: pytorch-crf
Requires-Dist: numpy
Requires-Dist: sklearn-crfsuite
Requires-Dist: gensim
Requires-Dist: konlpy
Requires-Dist: krwordrank
Requires-Dist: lxml
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: node2vec
Requires-Dist: bs4
Requires-Dist: pycrfsuite-spacing
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: soynlp
Requires-Dist: torch
Requires-Dist: tomotopy
Requires-Dist: pyLDAvis
Requires-Dist: wordcloud
Requires-Dist: nltk
Requires-Dist: newspaper3k
Requires-Dist: selenium
Requires-Dist: soylemma
Requires-Dist: bokeh
Requires-Dist: tensorflow-estimator (>=2.4.0)
Requires-Dist: tensorflow (>=2.4.1)
Requires-Dist: beautifulsoup4
Requires-Dist: benepar (>=0.2.0)
Requires-Dist: boto3
Requires-Dist: kobert-transformers
Requires-Dist: treform
Requires-Dist: openai
Requires-Dist: pytorch-ignite
Requires-Dist: fire
Requires-Dist: pytorch-lightning
Requires-Dist: streamlit
Requires-Dist: elasticsearch
Requires-Dist: sentence-transformers
Requires-Dist: st-card-component
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 250 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
yonlu/__init__.py sha256=eenYpJiqtLBf11TvjpabRX0mm2ud3LPuJiTAukIlEr8 261
yonlu/bert/__init__.py sha256=yvazN3sw9QjSAazEgIi9lkpVfm01HYlU_bQr6DkUBPk 12
yonlu/bert/att_all_you_need.py sha256=1Ff7GoOuYKBMEKu-8bgz01FVFUgiXdlOa55sDe2Fm3g 23065
yonlu/bert/attention_test.py sha256=wil7tkS2BlaFjo8siKj5oE6FODICRc7-k4rfgnetTP0 1903
yonlu/bert/bart_classification.py sha256=lOq9lDyTWr4uq_8OHebdra6IU3PJDKaoUQ2yZXIkMyU 457
yonlu/bert/bart_mask_filling.py sha256=nwoZPmQ8MMQoghVvfQmFjHpYnZqq3hgjprRueTjnTbw 1160
yonlu/bert/bart_nmt.py sha256=Exc2NnU1RtkS2oFWtfMilhjYJS026-ceL_WwlbK6Psk 20820
yonlu/bert/bart_summarizer.py sha256=9vJ40qMTTStVAk0n0fzBKLX0WSqUgPlAe3IOPrG21C8 5363
yonlu/bert/bert_classification_model.py sha256=yQIQTY6Luy6whSA-BaQUtbnBU-vLJONEsgpyAfC6IvQ 4771
yonlu/bert/bert_dataset.py sha256=Q4KTU5qiNKGww4VS6m-QPVHK8llj8rGwXM3OnFQ6KQw 1204
yonlu/bert/bert_predictor.py sha256=ofAv3RWfDW-2g9fpsiqGO4jo4qxER2MgnioQkPsQqKw 10228
yonlu/bert/bert_trainer.py sha256=R4FMt6LAhx4b85GCB6zSXZwqv9kdyunnB4YQRiSHxQU 13523
yonlu/bert/bert_util.py sha256=a542Z1y6twB2ZU9dlzpaTjdUuJmAUcETFjcxqPsds1M 3434
yonlu/bert/gpt3.py sha256=DH1ZdMJYULWHlMuELWWjzBVqrHPuTZbHToH3DGGTyFA 4511
yonlu/bert/load_kobert_model.py sha256=hNzZxihunLffvAwAHMYDrGDBWyYtuXYhtV648q8rwNc 756
yonlu/bert/tokenization_hanbert.py sha256=NAOmh__CKewOqGRa2drzpC2NXMHOM8qHEZGqrMRHQ0s 20271
yonlu/bert/tokenization_kobert.py sha256=fniCtXS5HTxMxGsMVTilMs3mPqlN4bVr9hyHPcHHfn4 11173
yonlu/convAI/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/convAI/bert_mini_chatbot.py sha256=Pf27khSWjGIvyyFBPbzLHolDjLUKQfsDlFySAA3HkRs 3180
yonlu/convAI/chatbot_trainer.py sha256=1qNeLccmvZ8GOqefCD0JlRuhqYWhXcnNYDVGglYRqW4 16995
yonlu/convAI/chatbot_utils.py sha256=mC0-8QQwWEvFjFFvzZGEsA2hISGKGE_Fasi98pgVExQ 2772
yonlu/convAI/example_entry.py sha256=TWYp0PuB56pZQjXrPH6PXEYLjPc5HWWBbjpNCQDaqME 6694
yonlu/convAI/export_question_embeddings.py sha256=pibBsKR_1ii0lTgU8QvtQ6yzOww6Ac8Qd_Mh7_MyC4A 1735
yonlu/convAI/gpt2_chitchat_trainer.py sha256=LztAhq47RSJIjOo3O4qGr9YjiA4cyni6Zq7nQnxDgIs 10811
yonlu/convAI/interact.py sha256=U28AZk59_vcuFEFbxjJFi6qrF0oW0xBOFwJBbs0lgZo 7679
yonlu/convAI/test_special_tokens.py sha256=Uo7VaeW-hyX4GgJbg4Q3Vc-7kuO0Qxm1aQxXOnOmf-8 1414
yonlu/data_utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/data_utils/ner_dataset.py sha256=FS2ZuIHxTZlooeZtx1adOdvJG8-AmfBqhePHPD0W-Zs 12348
yonlu/data_utils/pad_sequence.py sha256=mo90mrzId-LfsAW8s33ctPDFMFKBmFUyeTA83wuHGKg 4743
yonlu/data_utils/relation_dataset.py sha256=7h7TEy2E_byJu30ui-SRSjggk8YPnElbnRwAz3hxsE4 10359
yonlu/data_utils/translation_dataset.py sha256=fpdBTPvRtgvhiapxxpL7W7MdVT_pNBy8V0Yj88w999c 1908
yonlu/data_utils/util.py sha256=McresOegrBbCm9P9hM9fYHDeb8b6D-FHS3yh3i-bUs0 4053
yonlu/data_utils/utils.py sha256=Y0cLpzw6G65go5IffwrCBQt75fJo-Nk1L0nCIc4h_Yg 7371
yonlu/data_utils/vocab_tokenizer.py sha256=5caW4Etn6NsO46Jop54AePni6NqSfdP3fh2ynTJiNGU 9808
yonlu/examples/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/examples/app.py sha256=8pKw0x2okYFC5uzuB7Ds1tmXGzK9qyjS2RooId8auIE 3704
yonlu/examples/bart_summarization_test.py sha256=GnO9CtoaWvzPw-M7ooUKjxynXbB-3SYPLFtUV5y4IYw 2144
yonlu/examples/bert_en_word_embeddings.py sha256=F_Thvs2UAmAoox87aMOnjDZlRtfigfk1f9WkAGCffcs 4636
yonlu/examples/bert_ko_word_embeddings.py sha256=vcKjhhuTYhRNBIjVK5PSDD8OpHeA6yDqDjDSsDVo5ZE 8203
yonlu/examples/bert_sentiment_predictor.py sha256=TM41gOL40w90uiZ7clVrik1_cHYpA88BdDdrGOR5_EY 4130
yonlu/examples/bert_sentiment_trainer.py sha256=iYDZKSAlvDxasr6AkL57s0obCnsiGZbBoGXsUxCHKPs 3915
yonlu/examples/bpe.py sha256=p1gXlHbFgDP0VrfM3qGDjPakF8q2UiNgWUoO91gCdKo 2399
yonlu/examples/chitchat.py sha256=h4AxP21gQf0MbPbP3TWQEhjuYsUxt3LdtLBUxhkwLWI 1181
yonlu/examples/convert_unicode.py sha256=OAvYoceTPsvwPwdzYtP_FrSfUajYlnZsm2B7aPIJQHI 539
yonlu/examples/coqa_predictor.py sha256=6mDs6oArS7dFTB1kVpfCagZLuJ_YscIsTQYdG6xixg0 7402
yonlu/examples/dialogpt_example.py sha256=IPtzL6sYeCkEMULveVGF30jOuUx3zdPp9B1JIv6waSE 2672
yonlu/examples/doc2vec_clustering.py sha256=SrrgqdteBnqtLl4lvD3tX-ppAbCRVZtffMvvTqpf-CE 923
yonlu/examples/doc2vec_tester.py sha256=7laAKYTDjxOIIpyurPg-_EyqJ_n9gWP_BRjCqQINoWM 1468
yonlu/examples/doc2vec_trainer.py sha256=fggGeUoLArGGdW4esn66i9UI43tB4LOK2cKParUsP0E 2371
yonlu/examples/elastic_search.py sha256=T7l_gUZlHIquXO8X7JxU0o0iWMd_pk-G3lnik5eGKKA 933
yonlu/examples/elastic_search_embeddings.py sha256=2c8ERP5qKzwCBWv_D9o4Rv21icfpeoKNwMycl6tRDp8 455
yonlu/examples/electra_test.py sha256=dQUKCgY-zM-vhZ0ZQsLoAKFPDZ5vm2j6g3T22H0i2U0 6084
yonlu/examples/fasttext_tester.py sha256=NVqMkWiPiWg6sio7bmfRi18d4xN8my4AHw7uv6YE0EY 480
yonlu/examples/fasttext_trainer.py sha256=mIXSlOjx7qPlKKisae0KEFo49ucJ2tgQ6_54H6XVSyw 562
yonlu/examples/glove_tester.py sha256=OZL0en90ZbctxiikjfzALxldHJYLnzkjIbiHjNXBFB8 335
yonlu/examples/gpt2_example1.py sha256=g_uDslMMPmXqBGQTJztRmtG7Wu9nHUr1iI6ibVzN9Yw 2054
yonlu/examples/gpt2_mnt.py sha256=BVX5id3bejgi-R-NXh-TDAPYu24NdEAQVmy1dAio8wM 2777
yonlu/examples/gpt2_test.py sha256=0s1lbjkdqpGqSEp6iDPUcq8WaSJdJPUoLjuIhsKo2FM 2195
yonlu/examples/gpt3_chatbot.py sha256=6RsIxnhNi2hbiULY54koNXzLe3bKaIocXT9eako-iAg 1183
yonlu/examples/gpt_embeddings.py sha256=VNkaOohjzqCnzOmi--Di28lDyKjzDbO6ojGgcXZzEkQ 1239
yonlu/examples/gpt_fragments.py sha256=QwbyBop_k75SeWEUnDqJz3q6YJ1GvxXrqJ03rv2zAN0 2364
yonlu/examples/kogpt2_chat_trainer.py sha256=D_nskNaLXQkx4bZxM2FfJeGHha22brmt4RpZyMjyPFI 2574
yonlu/examples/mlm_test.py sha256=GtleOqQDNZFZ4NWhEseqN6KzPzkJWKiIDUHzxUt0W4w 803
yonlu/examples/ner_predictor.py sha256=HUmSJcL3MEl0yzgRBZNNQzfM7Y_tmZSIoHO7t82OYYY 838
yonlu/examples/ner_trainer.py sha256=Ls2ILHlXkAPgEsi5CHf7D5VAjlwiOyHwvDtgFS3LwaE 4022
yonlu/examples/node2vec_tester.py sha256=8sfaT_K2o4R_MtMD-IRwmbWn01hWYCEUnjpPQM5ul4Q 396
yonlu/examples/node2vec_traianer.py sha256=iKVm2ylsJcIF7q3HFzFaXwFVoDxnzSzwLk_T42NY8FQ 1557
yonlu/examples/nsp_test.py sha256=Wbc9OBj1f7k0jjfomjqmzN1YbzY640L_pSmSgyppKzE 521
yonlu/examples/openai3_test.py sha256=cJI4RJ9anQ22aCZXSAi7Tk-g1sYuZgjc-6d9wW7RCDw 1147
yonlu/examples/re_classification_predictor.py sha256=RZYpu4ImT2MgWPr-nZ9_IJQYO-lfX1v71xYYF7oAcww 7020
yonlu/examples/re_classification_trainer.py sha256=bohNeZmnfFA4R9j0g6H5CFRgVa59yv2WQI4zXJs654I 4356
yonlu/examples/spliter_test.py sha256=BPUjfCKO_EakPvLJeCO-NLpGKh2mAs78LX5ykmHL538 306
yonlu/examples/test_word2veclite.py sha256=Cq0CLWtLwMnemdMxoMZeehVz1Z0QWqrxwKdyJFo8zCE 1000
yonlu/examples/transformer_nmt_trainer.py sha256=P-Tijh6VFtDCzkbWX15NNum6b1DFvv8PV3f3WRof1f4 1790
yonlu/examples/transformer_nmt_translator.py sha256=sqcbZlx3H7GtDMH53eKOFeyZTHl-knVd2ifSFE6zeXI 2706
yonlu/examples/transformer_qa_predictor.py sha256=kl3xU4Zec53K0cWQzLt_tDVHoIcF2QTycQlOAlDUMi4 5477
yonlu/examples/transformer_qa_trainer.py sha256=6yiQigveDxXoMUyrpvhIWL7RzlJaADegEO3SUsGuTuA 15360
yonlu/examples/wikipedia_downloader.py sha256=Nq2azWI8iZ2JAU1L6kFS5pZ8D7CSskz4VawoBwwvsbk 1604
yonlu/examples/word2vec_tester.py sha256=79xonbIJlsYKgRNDJ-53q3PjucP9UINHI5wGelVkQFM 458
yonlu/examples/word2vec_trainer.py sha256=7UX15QbSB27Bz163Xh1ZoWqex9tuv2yabshKUC_P9GE 591
yonlu/kobert/__init__.py sha256=kRm77x-kQumhE4dPMlcjOojOPkRJc2olSJ_XTZd6rtc 597
yonlu/kobert/mxnet_kobert.py sha256=3ZStAOdRpik8ol6cWo7gfzWydK3Q1yX3P6cfixA6lo0 4098
yonlu/kobert/pytorch_kobert.py sha256=45sPXJYNy9DxR2DMd6_dB70Hrgzbnl0Ot87vxb4yENg 2576
yonlu/kobert/utils.py sha256=wU8r11QEUt4WFzgQFfkpATnkZpnbXGf20myezf91mwQ 3009
yonlu/machine_translation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/machine_translation/train_translation.py sha256=11UT33CXmwdSki2qelTtGG-kbMDzl5fWlF5UolN1XNA 7500
yonlu/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/model/electra.py sha256=jGeZXQ8y4dcT7UYWbSXHaexzCbAce8-x4dQTRITxuCM 9820
yonlu/model/net.py sha256=K1qYUwa4uguBCK7Xi2wAOTxJcFnwHMUaOttaZFB44vk 8904
yonlu/model/relation_model.py sha256=8e55nYh1kodcr0qT3O_6rE7mVrzZBOHG0NfzuxqJc2M 3432
yonlu/model/transformer.py sha256=kA4AbP7bae3It6gwMFJm54-y-HjYdJhXHEx1JQjXuEM 13293
yonlu/model/visualization.py sha256=9QN18XiNYeHAsYS6ZZ0kfCuz1t8GJPnScOWYWfDHYes 591
yonlu/ner/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/ner/bert_ner_predict.py sha256=yvUnxDJXc-nmoSl3CuconWkD1U3NZ8j5yGJHYWfInAQ 7216
yonlu/ner/bert_ner_train.py sha256=EG8602P7J2CvJ4mRYpq0C7Htvxa1wPL3QQWeV4x3XCM 10332
yonlu/ner/data_loader.py sha256=JLNFPfnx51otD7usXk4k2fR-QNEddwK9AWttemVyq5Q 9519
yonlu/ner/ner_utils.py sha256=pAQCLSxxNAi-3nQ9KoIEz4ddD-H_Xf2mIQxZuXprHSw 2738
yonlu/ner/tokenization_kobert.py sha256=gL_Hni98i2vl1iWnBV97hJT1UeMZmbU56xLJQTPO900 11263
yonlu/question_answering/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/question_answering/korquad_evaluation.py sha256=k45wg-BF5QdPX4VrTOE9nkQ-bnSN6LYyh7gzUSrRyms 5162
yonlu/question_answering/qa_trainer.py sha256=MjRuc1LfgVdDahBpbX9lVLdl49ceJP3S1y0FSBTD404 21527
yonlu/relation_classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/relation_classification/relation_trainer.py sha256=GT-C_ISXyd0xKf27KY8ZUXIvzrk-086ezztT0tnKHKg 8939
yonlu/semantic_search/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/semantic_search/elasticsearch_manager.py sha256=tX_y2GoPxxbxfIfjayCHZBEfUrB6hyUVWTgvXCLG-xU 2199
yonlu/semantic_search/es_embeddings_manager.py sha256=WbrxLLNIut5sCol1d7fjOXjgmVNzinFAH3L4C9dvhw8 5307
yonlu/word_embeddings/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
yonlu/word_embeddings/avgDocumentByW2V.py sha256=saYB-m_iSJcZMQCEWOq-OjQ11vrsgyRgmyn97gD62xE 3315
yonlu/word_embeddings/doc2vecModel.py sha256=uJPJl-8rbdiMQoHAbtYwfkM4X8eOSrsOfwNsqakjy5s 7136
yonlu/word_embeddings/flaticon_api.py sha256=zoCXtp6rHxKpJ2eTsyzXPs-G48W0DYdX2h1SU9YIZdE 5448
yonlu/word_embeddings/gloveWikiKoreanTrainer.py sha256=ESq1iSP6SPIwthKXL0rq-xW4QJE-Re4H-FW4UiPROV8 264
yonlu/word_embeddings/node2vecModel.py sha256=KRroe7uLowgSbL7pjkB8-P9m6riDX5dK2FG_up17a3I 6142
yonlu/word_embeddings/sent2vecManager.py sha256=N6xeGvdsgEpVnFPd-0phP7aJi0DchKi6PE5kGuSmgpE 2674
yonlu/word_embeddings/sentence2vec.py sha256=x2QSWgkCuOXO9sU8B4zdgCnuHiSGiYYD1BMvKDLRttM 2719
yonlu/word_embeddings/utils.py sha256=xrvet6sefEOvXWLmAQnB1s2ZJAeO3Bme03PIuH_plnU 2152
yonlu/word_embeddings/visualizeW2V.py sha256=DTPrpBJUJPEARp4B7O45DtOgJa5mUTJU4IQVndv7npM 8366
yonlu/word_embeddings/visualizeW2VPlot.py sha256=fnd7RRn_YTMHFVXs07v2weuF6ZzJmlNpzy19TXs2t2M 2779
yonlu/word_embeddings/word2vecFilteringFunction.py sha256=eT6N_CdjcEUJll9NeMFBardHfLXFB2i_AqkLE-0N-40 8045
yonlu/word_embeddings/word2veclite.py sha256=OG84fceMuVVcdnqFxtR0OaJYA6Tk5osQv6LBtzGWYUs 5460
yonlu/word_embeddings/word_embeddings.py sha256=j7_TbD4LiT_waxz-lNSpw1MmxBKlCdUyUuYrj146-J8 18566
yonlu-1.1.22.dist-info/LICENSE sha256=6kbiFSfobTZ7beWiKnHpN902HgBx-Jzgcme0SvKqhKY 1091
yonlu-1.1.22.dist-info/METADATA sha256=jSOGByfSpnxKVdMGheR7DHUKtudff5ifLzAF-vcCQ8g 1833
yonlu-1.1.22.dist-info/WHEEL sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o 92
yonlu-1.1.22.dist-info/top_level.txt sha256=tYzhWrt_xJbzFA16_QK9imqzw69DmkxoauQnY1vTOLw 6
yonlu-1.1.22.dist-info/RECORD — —

top_level.txt

yonlu