deeppavlov/__init__.py,sha256=8_4XCxoGLQTryxTGzwER00qVqVSoSqEqb4-jwoN0cjQ,744
deeppavlov/__main__.py,sha256=obL3HJUvrRDUgrZ6EN9inqVY-tKX4fc7RqK0ydyV6yY,65
deeppavlov/deep.py,sha256=IrCkT2jN_ixkwMHYz96AqkvWXYUA6aTyUlYPJ7Ze_wQ,3551
deeppavlov/download.py,sha256=r4s_Tuy9KNV0W7WR1NUdu3DMd6MzRBsHwWvg2Tub1SQ,4845
deeppavlov/evolve.py,sha256=iUE1GKZNADTtrCyEtfISsRhVgFA33PFo33t0leZGUFU,15118
deeppavlov/log_config.json,sha256=Sgb2ugvW70C5VrHCjzMvyP_d5rRPR4I8AZt42thaSO8,809
deeppavlov/package_meta.py,sha256=U8RKdJpDvhlxQ-lpq3uMRjADAjsCd3171N-JiA_3Yhg,81
deeppavlov/run_model.py,sha256=MsBfdp04Zq2U6hKfBD2rv8bQjICmB9imVc-qz1dlEVo,2033
deeppavlov/configs/evolution/evolve_intents_snips.json,sha256=IJsUOQ4kniK2ewMp7D_SSG2WdPYRjRMViOF_3pf9aHE,4145
deeppavlov/configs/go_bot/database_dstc2.json,sha256=Uzkz9wFVAG3_uUmzoBJfBemNEzO5e-_viRIAe-kfCOg,667
deeppavlov/configs/go_bot/gobot_dstc2.json,sha256=f7pS8iUrHbxk7PxDXuPNlA9rLJ2eBI3LcDvOtv7fZmI,2785
deeppavlov/configs/go_bot/gobot_dstc2_all.json,sha256=nn7F4N9SzjqWkn_-9FfJc_vsJuqOxqb6o5uM1uszI1Q,2942
deeppavlov/configs/go_bot/gobot_dstc2_best.json,sha256=g0HGXB7lMayjXARd5eQ8RguqFNJnk-bbSHxfMScsXIc,3315
deeppavlov/configs/go_bot/gobot_dstc2_minimal.json,sha256=pm4XHn3dq1cJ4Jkv6PoxoFQR-VgfbH6E2qikpOCyYD0,2464
deeppavlov/configs/intents/intents_dstc2.json,sha256=VWFzNSjbn0amo78kwH1IWCs2YUm6paJ2fd_9bcvZc_g,2860
deeppavlov/configs/intents/intents_dstc2_big.json,sha256=yaHCgcB-f0qmb9KODMzNx0CaAi4CyGfhotKDiHqGNps,2779
deeppavlov/configs/intents/intents_sample_csv.json,sha256=WsdaAkeKhK9OLu5r21s3r06uOIY91Be1-8X8Ztwcim8,3152
deeppavlov/configs/intents/intents_sample_json.json,sha256=MQ8hDfWYmGbUXuZIp4JZ8_YDNqm289jpCZXATSPqeFY,3093
deeppavlov/configs/intents/intents_snips.json,sha256=j5jsc-iyfN7qNDD8elNldH4R7gHKt_79VF-iZfn_yoU,3013
deeppavlov/configs/morpho_tagger/UD2.0/hu/morpho_hu_predict.json,sha256=jEAw6QsS5HQrCl5xOOHJeyPl1FUjgPVwciEZ7e-nNzk,2306
deeppavlov/configs/morpho_tagger/UD2.0/hu/morpho_hu_train.json,sha256=U8sBJ9x7l02poPHYcn6pbn6EqdIABJnfyfmJDSNTiLo,2376
deeppavlov/configs/morpho_tagger/UD2.0/ru_syntagrus/morpho_ru_syntagrus_predict.json,sha256=SLVdLtQDmlCcq3nCge8EYgf7Vgp0tSeFdwwlIQ8f4lg,2431
deeppavlov/configs/morpho_tagger/UD2.0/ru_syntagrus/morpho_ru_syntagrus_train.json,sha256=GYjTsBok_A2XRG0OHe1Lm6Ek11DxvWnxH6UCu8bNRlM,2447
deeppavlov/configs/ner/ner_conll2003.json,sha256=i2_mq4Ugh8AgUjVNQ8UePF6F1IXdHGazYk1mReVsQmI,4001
deeppavlov/configs/ner/ner_conll2003_pos.json,sha256=d15EsQnF4z3DXOPao-L3OxD856uqgTXn3iwcUVA04Tw,4475
deeppavlov/configs/ner/ner_dstc2.json,sha256=HwZAdY3_uaL1JFeuWdVQoF0E7OqLtRnVDy68PHPiVDI,2442
deeppavlov/configs/ner/ner_ontonotes.json,sha256=ANUolMAqAgBhKVS-5g3tn2QahmsvvyGhxlwVo_bot-4,3524
deeppavlov/configs/ner/ner_rus.json,sha256=586HDzQqe5aTSq9hkYMCjKtiE5zb3scLGbwFq4MyIhc,3864
deeppavlov/configs/ner/slotfill_dstc2.json,sha256=ghsbFIGONb71AtFnOUDtruLevgySep47F1WzoXr9cZQ,1083
deeppavlov/configs/ner/slotfill_dstc2_raw.json,sha256=CL4GT7tYlXvz6MtrFpir0b53WwUxvAto7WDEkwXT9Nw,725
deeppavlov/configs/odqa/en_odqa_infer_wiki.json,sha256=Os3wvcDIg5NAwyBxGWYOAjo1Q8jSFRkbVGtQr4hA83c,1325
deeppavlov/configs/odqa/ru_odqa_infer_wiki.json,sha256=XmaHo5_4S_mK8b-fIe1u_c146uP6qFW2-KJwPRRAzbc,1292
deeppavlov/configs/ranking/en_ranker_tfidf_wiki.json,sha256=Pt47pRLemG4KYe-pBKwGVHxpaAYgpcvleGoZ1wvGrtA,1333
deeppavlov/configs/ranking/ranking_insurance.json,sha256=N5G0xpWLC-F0psiXNthUgdoqodi9N8b2wKjEOniVYbQ,2137
deeppavlov/configs/ranking/ru_ranker_tfidf_wiki.json,sha256=6XmMhgekeuiHHBgLd64JpOnCtd8v9Ac2zsVPdew4UUA,1285
deeppavlov/configs/sentiment/insults_kaggle.json,sha256=FQ4TGz1GqXyNmBoBV2UJKgfzPf-1FlyC5su14TEoz20,3110
deeppavlov/configs/sentiment/sentiment_ag_news.json,sha256=LqwQgLfrsLcaRW7iQbAr6eHDzRnRqdiclrrxQQOhm70,2961
deeppavlov/configs/sentiment/sentiment_twitter.json,sha256=ZUFSlErHp4o6Gs80bmYKW5klLiY-6q5DS15IhxIKDa8,3204
deeppavlov/configs/seq2seq_go_bot/bot_kvret.json,sha256=oa46JDMc-5XztqNx1hKhb52PNb3w6ea-vM--uI-1jiE,3553
deeppavlov/configs/seq2seq_go_bot/bot_kvret_infer.json,sha256=vALuIV-5ZWBsbVhNgiTI5Wme9lH_XUVA0DBr9IvIrF8,2772
deeppavlov/configs/spelling_correction/brillmoore_kartaslov_ru.json,sha256=SnibxG7TwXnFSQ84cHf7kCZJ2Kmb7Ix8AQSw-aV97VE,1870
deeppavlov/configs/spelling_correction/brillmoore_kartaslov_ru_custom_vocab.json,sha256=pSFXaeaMmPN9KL82Lop0c7xRgPp4OHIlH-xVshF42xk,1974
deeppavlov/configs/spelling_correction/brillmoore_kartaslov_ru_nolm.json,sha256=wNVxXgc4GFXTLOHwTWEyjIb9YEfJnCMTNqkzpJX5Wnw,1798
deeppavlov/configs/spelling_correction/brillmoore_wikitypos_en.json,sha256=bpkYB-1zZ76EYVpokrZ1GgxjpXpfVzp0hin4VTlc0yE,1913
deeppavlov/configs/spelling_correction/levenstein_corrector_ru.json,sha256=5fw91YtE4zSws-JUmzjSi9x4JN26tyzLHPO0HB_wVnM,1624
deeppavlov/configs/squad/squad.json,sha256=M__T-v4coCXq7dsZZXbMOOuRgbiLjfHURk9nLSmezRM,4392
deeppavlov/configs/squad/squad_ru.json,sha256=fyyzt7d4BTi8KSIDPNy1PRTbkMtq_UXwrZwH-g-RY1U,4654
deeppavlov/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/agent/__init__.py,sha256=eXauRZC77eO735HAUSAidZKeIbQEUzoMAurAyeYYSrs,21
deeppavlov/core/agent/agent.py,sha256=7Qow2s3sKI7hBwePSiRrnwrO2L8y7Nc_aMFCcki0IQI,2659
deeppavlov/core/commands/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/commands/infer.py,sha256=d9hJ2Om4WXbt9WcEtPPOuY3VRSvEw_UaAk9vs8ZPX9c,4769
deeppavlov/core/commands/train.py,sha256=b57vYhltwMNjoKpro4aD00po3KEXqIROE6-cMrkLdRU,16731
deeppavlov/core/commands/utils.py,sha256=_j4negsbKhzoUTUNVofeQnnzsljiLKzuayajWPoqmIs,1503
deeppavlov/core/common/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/common/attributes.py,sha256=-XSNvbejaHPHrPphv0OdDruNJ1DEOkCogkzvYvZeyoI,3624
deeppavlov/core/common/chainer.py,sha256=8-iLxyiTU1-OrJNxQfrJDKhKx8GAL_YiV6jAqq_pNuU,6451
deeppavlov/core/common/check_gpu.py,sha256=Ns4ml0hrh7q-R5JG-2k5iO_D0SCAhpCYgTBSYTo7h5g,998
deeppavlov/core/common/errors.py,sha256=jChJBh7GwhVYxBSE7M17m_6RrebsCei_x0mZsWPkc40,890
deeppavlov/core/common/file.py,sha256=C-cW9nqBOA8tSQfaGVtR5MROf2Cy0nek7n_NbyVfGEg,1027
deeppavlov/core/common/log.py,sha256=E-Q1rn9S-RBiEaFlA5KzE6jPLpx8d3Msd1LYSlH7j3U,2391
deeppavlov/core/common/metrics_registry.json,sha256=PEza_p5qBqIHI-xPdglwJQZXBmiBy7gM3bi4T7n4pQ0,1543
deeppavlov/core/common/metrics_registry.py,sha256=1ZeNRhT2oORSXhC0vUEbreUs-5w0gU6asYi9F9iBEiY,1419
deeppavlov/core/common/params.py,sha256=Yh8PhWQF1MeQzO9iKXE9HDBS8AuqhgaZyS1plvbmdp8,3940
deeppavlov/core/common/paths.py,sha256=BUqcR8utYkSrCNGlWAwcaWqjycD1c_eVpUvKLzqC6Qc,21
deeppavlov/core/common/prints.py,sha256=9q_iiz7qVBKq6_6cU4Jb7cn3s_4mVIYrNd_WUWslE2M,889
deeppavlov/core/common/registry.json,sha256=C-5WMgG2rOrhmfX2Jl7gXG2dh3mBeSZfok1-wgwdQpo,7935
deeppavlov/core/common/registry.py,sha256=sVXhiKyDKlLH2z_NdQv2fGOB6y61VYAm1AQqZuQUvrA,2305
deeppavlov/core/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/data/data_fitting_iterator.py,sha256=2quCXBv1Sy59s8ELl-6BYq8KOn9BIHVChM7s7oeu_Cs,2349
deeppavlov/core/data/data_learning_iterator.py,sha256=l3JBWgw2-jpsKL31yRn9QnfNZtjfZ9JumVau9yk2sCo,3489
deeppavlov/core/data/dataset_reader.py,sha256=I3tiCAlcwzOXvWPrtcc9GJ9JuRSlmq3V8xyKylNEebE,938
deeppavlov/core/data/simple_vocab.py,sha256=1LC8Zf2prHhcEO75gaQ6N0xKeFrYVbq7Dxw1JFo0DQg,6666
deeppavlov/core/data/sqlite_database.py,sha256=bbEBaXuy2O3UoqebNXDERlGXP9q3_Bc7tl1PyZYTsqc,7686
deeppavlov/core/data/urls.py,sha256=vZ-paUWXL8PIZavv52JxmTe1SCrFfRX52hf8OHR4Xw4,3537
deeppavlov/core/data/utils.py,sha256=froBqkBCRMzdY1IRwipP69KhoSjp3PxqWpRS9fqCsNY,9236
deeppavlov/core/data/vocab.py,sha256=7voyXOY5uWqAQGmdC-V36CeLV0pBbPcdnvDY4KV_GVc,7000
deeppavlov/core/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/layers/keras_layers.py,sha256=bT9oKJ_Jyb0p-55NicXCB0jmyKlELWowtEltaryb1PE,5200
deeppavlov/core/layers/tf_attention_mechanisms.py,sha256=INbBRRJiWmulsoRDqk5p92PlMHeWFzilY9JBGrYCqK4,17004
deeppavlov/core/layers/tf_csoftmax_attention.py,sha256=mXQ9TIUdB5Z4g_zn2VXQ4mQksvCb57v2QIVmtTrg0R0,13636
deeppavlov/core/layers/tf_layers.py,sha256=vNON9uvnfnM9f67kjn9AZD4pxKCP9xD_oxlma4iGPaA,36299
deeppavlov/core/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/core/models/component.py,sha256=Sj0SZrZTOBhFN9v-cgLwp7nvMnfQ9rRG9FL-ZiOArzk,780
deeppavlov/core/models/estimator.py,sha256=weH_AjLn7LsYTF1MYfk26NdOLziueKwNbNU18Sdp3vw,810
deeppavlov/core/models/keras_model.py,sha256=9w9szuD93dCWMvdEU2oLpEV1hyuT-O5vxryRhuT0uPk,9937
deeppavlov/core/models/nn_model.py,sha256=R2tg370x0n3WbB79vukqgxR-8z_W8Q3t7-75Ei40PIg,881
deeppavlov/core/models/serializable.py,sha256=Fn7ZwWeSsRpsla27sIlrz-SEcHULqo21NHNlKpeV3tE,2541
deeppavlov/core/models/tf_backend.py,sha256=YanXblkUiyB_wiQS_SJc7bPDlWEGsEy01Ntya8dBS2U,1468
deeppavlov/core/models/tf_model.py,sha256=C9Acz2pmUcvq4pw7_sJaHoAkBEU0xN1NJ9z2gspGpi0,4979
deeppavlov/dataset_iterators/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/dataset_iterators/basic_classification_iterator.py,sha256=gT1IEMLTVT3Lrhq-fKUtXxO7Q7xVtrtGGVCovHUMyv4,4683
deeppavlov/dataset_iterators/dialog_iterator.py,sha256=j-LNidtljewO9HstSX1hXV1a7PpW-Mmyb1lxaCZ85QI,2223
deeppavlov/dataset_iterators/dstc2_intents_iterator.py,sha256=t4jh_4MSKQPPZflDEv7De5c6rGUisRfiNrzZHtbRh1o,5789
deeppavlov/dataset_iterators/dstc2_ner_iterator.py,sha256=dAf4B4dcF0aUY9UsxslltVOgx4GHNEpadF1BB0gGloI,4065
deeppavlov/dataset_iterators/kvret_dialog_iterator.py,sha256=e_hfw0WpJCUZdhx1fpOuVDvyRI8EAu_EnP6PCCZh7CY,2295
deeppavlov/dataset_iterators/morphotagger_iterator.py,sha256=BRn4kCgrwkbMSaNCSWtu9vHJ3kE7M7i38kS_BG9bJKM,3471
deeppavlov/dataset_iterators/ranking_iterator.py,sha256=QIiB_o_BgWHJGGyJDI7KNbMiayYxNPtSruHNAOlG-7s,5549
deeppavlov/dataset_iterators/sqlite_iterator.py,sha256=c4R7p9-DZdtDVU7w6hvKJoYA4a0uDWGKrFwU2AH1nis,3484
deeppavlov/dataset_iterators/squad_iterator.py,sha256=bMIGicsrmZwgTi43SN8nmoc1ytRtsbychGybWskAFQ8,1898
deeppavlov/dataset_iterators/typos_iterator.py,sha256=aJj5ZY1ykwZcKmKIsu8lucO01ce5DbR1vI9W99hiVT8,1260
deeppavlov/dataset_readers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/dataset_readers/babi_reader.py,sha256=2whPO82xHGShKa6kzephZXyDwPYVuv16rTbU0IExWB4,3925
deeppavlov/dataset_readers/basic_classification_reader.py,sha256=WpyEMFIouBIwNXLkGRqUZ3_EsG5oWU7MYinNqccMqcY,3603
deeppavlov/dataset_readers/conll2003_reader.py,sha256=BjTLr2ZShBCbQiVzvRmtvqD8CHY8bd9YdBWR9ImMBo8,2585
deeppavlov/dataset_readers/dstc2_reader.py,sha256=2vA58e77dgq-ZRSxzpB6rIKoICer0vQXztLEL1S6V-w,11498
deeppavlov/dataset_readers/insurance_reader.py,sha256=7McvfTYGj8ZvcxOkleIloIjc31BvZr-OQ-Lh2pYY-bY,3919
deeppavlov/dataset_readers/kvret_reader.py,sha256=Ajp2ApDS0216yKbG5jNlVDw5FQDVjCPBwa5z1-N-6Mo,6416
deeppavlov/dataset_readers/morphotagging_dataset_reader.py,sha256=63WJAktQuSvOJCIwCNHPNdZvQMv9inhHeYQaWbTlKZ0,5771
deeppavlov/dataset_readers/ontonotes_reader.py,sha256=r2RvKcadw8ZBICN8we2Y_GXLaHEv08mwaJNY5QzNzRs,1852
deeppavlov/dataset_readers/squad_dataset_reader.py,sha256=TIfZycsOMf-ZDWvSy4BA3PoSSwyH47GdSJSFcU7wNn8,2080
deeppavlov/dataset_readers/typos_reader.py,sha256=w88heGsVB7ukgCWHIntTW4IaDoS3iij6e3SKCocJLpQ,3502
deeppavlov/metrics/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/metrics/accuracy.py,sha256=ah8MtjG7KaSTaqjP4nCvHY6WmrzaKDB3Ap6zceCn1DQ,3839
deeppavlov/metrics/bleu.py,sha256=0s4IwswcWUUwAQ0qgZ1z9woObu82PkyExpmH5WtLZhk,1334
deeppavlov/metrics/fmeasure.py,sha256=2upUcjvAsZJFF-RVTw0530CO29qyPzNwPXx-LqZPIEc,495
deeppavlov/metrics/fmeasure_classification.py,sha256=Prni7IPlZmZekRPK6Vk8nGhqvWwSD2r1VSevZ_62IXM,2490
deeppavlov/metrics/log_loss.py,sha256=2EYymgszhev67aTJsx0sUPyE-iop0cekCOp7jNiYfxU,1123
deeppavlov/metrics/mrr_classification.py,sha256=cRbP3uLazztaU2Crmf0sbk7ZuZwy9lWDQwedOWQNi4c,2987
deeppavlov/metrics/roc_auc_score.py,sha256=tL1SXp4LLW6Es8_eUVcKRoJZd7U9VVrx2ACH573PbnI,1992
deeppavlov/metrics/squad_metrics.py,sha256=wkdaQrEJd1H7FIs4HMBQVyxAUbsGT1OzcII7atfo6q0,3221
deeppavlov/models/__init__.py,sha256=VkxTuGye-hFK-xpsmdC1VkOL_uCDWqt2NS3erZ4Ihjs,592
deeppavlov/models/api_requester/__init__.py,sha256=vlPo60kurmeWMmB2xdBc_P2qP2oL3syc15KT6CTbM6c,29
deeppavlov/models/api_requester/api_requester.py,sha256=KveXYyPR0-d2YneAZibhDOpqJG3oNUB3FWvR5RjP6T8,1618
deeppavlov/models/api_requester/api_router.py,sha256=qCJxrG1Ftw0VU_TLIBySmCVy102atZHJ55VLb71O7NM,1080
deeppavlov/models/classifiers/README.md,sha256=Wmt8yNlfgAzLj9s6QQQWPAfxwFMGTXxGhxMsOceArLg,21533
deeppavlov/models/classifiers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/classifiers/keras_classification_model.py,sha256=MXmiSyUWzphDk0pewaw_kBm-TFAi1ezgSc6uwfVPYHQ,25329
deeppavlov/models/classifiers/utils.py,sha256=SCumcvLTwgUHFNfBgWWTjKT0cIqC2-OOZYCy7SV5YVo,4160
deeppavlov/models/classifiers/tokens_matcher/__init__.py,sha256=Td5Bv_M4hjpvzudNAxyJnMGXzL3RrD4l5vodBydz8FM,30
deeppavlov/models/classifiers/tokens_matcher/tokens_matcher.py,sha256=IYpVZ0pvpYhErANCYN8mqbJyYG9A7mBAO9yJ8u2MSG0,393
deeppavlov/models/commutators/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/commutators/random_commutator.py,sha256=xVYxwyrXbTp9g6iSZXFUTDsuZcqaqBgIjV6JmN4LcAg,1212
deeppavlov/models/embedders/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/embedders/bow_embedder.py,sha256=Mj706p61_PMNVZMiZKo0DAPWFY0HUiDamQ6_I5te6_Q,1172
deeppavlov/models/embedders/dict_embedder.py,sha256=It23RgvjD7bykWqRXO_fXmzsYogekFhUUOBLV4OIjjA,2852
deeppavlov/models/embedders/fasttext_embedder.py,sha256=Bp_7HEre4eIrCxwQV-50IFIq3recpF4d0ENCnJee6zs,4229
deeppavlov/models/embedders/glove_embedder.py,sha256=0DvgCEe-GhjBu1CTcFl3YWVJefvvj9S4X6_9NTPn6rc,3519
deeppavlov/models/evolution/README.md,sha256=dEoju3SPb5FsukJJQPWu1It8aiuN2UfHRdreHo7Q_1A,5489
deeppavlov/models/go_bot/README.md,sha256=gbCWecp2o2K8m2BHlRp_0vdz-HclUK7AUOFxBxKVw-A,20770
deeppavlov/models/go_bot/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/go_bot/bot.py,sha256=HMysN-lH-KJE2_hz1EvxtzAC8u6Ky1S3RrO7B1fpHEw,15908
deeppavlov/models/go_bot/metrics.py,sha256=E8tp_fyP6zkelzNXnFkwIB0o1WcKeWFz48mJtN1GaeQ,3314
deeppavlov/models/go_bot/network.py,sha256=_AIoe2dQaoIrCOegUCqWGI_SRZsWHj9uRBZ5aEv0rFA,14379
deeppavlov/models/go_bot/templates.py,sha256=miXEAkmV41aX101m0YiIORhXAlotnh706geEX9HbuyQ,5467
deeppavlov/models/go_bot/tracker.py,sha256=TxCLTRgJCTQqE_Zg5Z4NlJnjwu7s-TQYw6BJGcEJl1Q,3178
deeppavlov/models/morpho_tagger/README.md,sha256=2vEAQYtwAVkvAyKiPDF9RWchjzzzfEsZGF0HY4SS2uY,15171
deeppavlov/models/morpho_tagger/__init__.py,sha256=UfbOW9miFQAHND9X4-5NcLsrU5oo5gGF7zpTZobYUcg,39
deeppavlov/models/morpho_tagger/__main__.py,sha256=fb5ynB35kjD85Rk6HSgstdx0cWJj0vCV5qzdA-qpfE4,597
deeppavlov/models/morpho_tagger/cells.py,sha256=Kc_Y1TJFnV48v6cClscMmBJPGHZ16zP9F48R_hILMmA,7352
deeppavlov/models/morpho_tagger/common.py,sha256=k4qMiL68VppE4jdFcYHq2bHAgFRjiv1s4b6MALQjRDw,3181
deeppavlov/models/morpho_tagger/common_tagger.py,sha256=ixciZQCvHMK98w4HVDCJHfW8ZJN6lBohrt9C8hwS-k4,689
deeppavlov/models/morpho_tagger/network.py,sha256=3y3yMdX2bFz_Dkb-CJdmndOogAzi0RWAo59u7j-tEgM,9964
deeppavlov/models/morpho_tagger/tagger.py,sha256=XM5MPeMpt4WIlm_uzFsXP8EhRcZmo1LSYxOm6wsEvIQ,4300
deeppavlov/models/ner/README.md,sha256=Ao2ET7gdFtBuIHlAfGIL1Y_yf2fQLjbATfxRLuiF188,23601
deeppavlov/models/ner/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/ner/evaluation.py,sha256=_iPQ_JdmaL-kecWh5KWzuRF87wNTF5n8x6WmDnxZfzo,8936
deeppavlov/models/ner/network.py,sha256=K-NeevUXDqZBDPdlJG0yp1NDFJm11Bhq-PXE7DKyML8,13495
deeppavlov/models/preprocessors/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/preprocessors/assemble_embeddins_matrix.py,sha256=Mj-nXTGxLcQBrFCpRwwIbDwd5qYSBOlcmOIiwMyfL9E,2338
deeppavlov/models/preprocessors/capitalization.py,sha256=pwbAuvEKXjcyi1sLBlaYReLX4BYj-ph162KdHdDgobE,3570
deeppavlov/models/preprocessors/char_splitter.py,sha256=iSFMU8hxoHKWfjxBV7xSrorU9iJsZOBh7jLH-ASjclg,1140
deeppavlov/models/preprocessors/dirty_comments_preprocessor.py,sha256=aYNP2jQxXHk0Vrg-TrOFQWGP1BYlkJwrmjVdeYkFzfA,2818
deeppavlov/models/preprocessors/field_getter.py,sha256=A__rmudul7KVrSTSLidxyZLBFF4Y6chrndKyKLDmZCY,999
deeppavlov/models/preprocessors/lazy_tokenizer.py,sha256=-UwGljofnYaXsxve4QbgG4o28S4dBpqA_bQjhunsUiY,1151
deeppavlov/models/preprocessors/mask.py,sha256=gN5BDdW9-nOGUycoMKpVYbv596iPOcQuUrifXpnGY6E,1235
deeppavlov/models/preprocessors/one_hotter.py,sha256=HDAnujixnwJWIrNX0NcCXjowCnVNgz_nFrL766PjUeI,1459
deeppavlov/models/preprocessors/russian_lemmatizer.py,sha256=H97gcy-zxep6kelTmzUcP64DSZNlbvPgvwnMpg81qOM,1331
deeppavlov/models/preprocessors/sanitizer.py,sha256=fSrQ-hRJ3wPoUl98kx-GVgiAVPUoFwTG6Hamhlm1D-Q,2175
deeppavlov/models/preprocessors/squad_preprocessor.py,sha256=yQnszIBQb8CX4X_xsJp9phjnUlJSW7vDoPgNp0wWvNk,12165
deeppavlov/models/preprocessors/str_lower.py,sha256=OwPa2t89cnloxj2GDcqZtbFuLZmVgD9uH0qFsILlOeU,1058
deeppavlov/models/ranking/README.md,sha256=jx_rtJmXYgZGj9R7ydV477s8MO-hdlxy1jCAtRRfDsU,11438
deeppavlov/models/ranking/README_TFIDF.md,sha256=YoMT5FoxmiexpjTqtGgQv5BpBiFDGcrgSRwwKiY4Fzo,4792
deeppavlov/models/ranking/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/ranking/emb_dict.py,sha256=jNQmidr49P2LraeogP64GYmzh8g9fEK0o3m-djcaIvE,4363
deeppavlov/models/ranking/insurance_dict.py,sha256=9L7ESyq3KXiN0k1p9cBCJZ1gou_yfYaiHXhenjJZisQ,2520
deeppavlov/models/ranking/metrics.py,sha256=krbz5MRNglFfQq_osY3J88hvyXBhp68A5ZdXeWDVemI,1588
deeppavlov/models/ranking/ranking_dict.py,sha256=ASr0xdioaan9vFKMfbDs4J5UbdgcLOQd9szFlXqDtvs,6346
deeppavlov/models/ranking/ranking_model.py,sha256=WNZRVUxZWUnAtjMqwjwZH99QcZdJJPpAjvVIKk_lSEI,9455
deeppavlov/models/ranking/ranking_network.py,sha256=TiUOPDkkhkeeEdUcIpe5H4r2rZbLaMze7CQET91iDdc,11663
deeppavlov/models/ranking/tfidf_ranker.py,sha256=Q9W0pOqdgmLHF5iVFIJWIq6-G-p2hs1y5XkLcsRmk_Y,3881
deeppavlov/models/rule_based_slot_filler/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/seq2seq_go_bot/README.md,sha256=B56d3Ox9tdyr1W8GLiBrWKwY6uWDL0D7Z2gMWEuA6oQ,4469
deeppavlov/models/seq2seq_go_bot/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/seq2seq_go_bot/bot.py,sha256=aVhQurnZei_jUQapygHJnslnElvT-M9GlewHJTqODwI,4771
deeppavlov/models/seq2seq_go_bot/kb.py,sha256=UUZK8YuqVmrdJbXtW1-2SP5clHh9dY09O3SNS4sadFg,4238
deeppavlov/models/seq2seq_go_bot/network.py,sha256=oDI57FFX8RNqF3eAC6ckib_QXTI6-DTyoP9eSMJAimE,9790
deeppavlov/models/slotfill/README.md,sha256=8JQBczXZpzSvSXsOjjqb_8ZaK_tJ0br10lqdojRx9bM,10414
deeppavlov/models/slotfill/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/slotfill/slotfill.py,sha256=WhMIkp8xhEzxiS2FbTpqfm6MKyGKn8pmKvAZPtnmLIQ,4661
deeppavlov/models/slotfill/slotfill_raw.py,sha256=5ik5oYlHl1v_f3a27vJOa_t2jghVCEmOT_lzXVfYRms,5515
deeppavlov/models/spelling_correction/README.md,sha256=6ISyFXrcKZWMt6jWRixBZYC5VVuMzqp1Bu83SQNuSEk,8213
deeppavlov/models/spelling_correction/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/spelling_correction/brillmoore/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/spelling_correction/brillmoore/error_model.py,sha256=6kqr4HfwL1sleBRjrXs3zT5Hj2Yb53-5U53pNbMKEDs,9355
deeppavlov/models/spelling_correction/electors/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/spelling_correction/electors/kenlm_elector.py,sha256=RdIDnS4nPUwX78uyOUgbOt49ml3CCa4gcX94pRpjBvM,2235
deeppavlov/models/spelling_correction/electors/top1_elector.py,sha256=Qnet8KWVWbg--I29Lh8IAHdxS8ygR10969W6Uu1SNSM,1094
deeppavlov/models/spelling_correction/levenstein/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/spelling_correction/levenstein/levenstein_searcher.py,sha256=BVepApZvwe25Uv7mUha1E1_WCIk343ozXHTnYDLnUQs,32919
deeppavlov/models/spelling_correction/levenstein/searcher_component.py,sha256=pgWNETQLiZq8hYYxEbgyhFU0tmCJEwEvr4DUXfd1t7s,2255
deeppavlov/models/spelling_correction/levenstein/tabled_trie.py,sha256=T14JuI5snB-epvhVS58Vcg3Zr50UwxRumLSHdroXsUc,19969
deeppavlov/models/squad/README.md,sha256=YFbeAWLl07GzG4Rdjzw6qpdPpV_wHi3goeYbx2yh69k,6189
deeppavlov/models/squad/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/squad/squad.py,sha256=_cVuP7FUHM7x1oKjuRKfkDpOIP9BRo4by7v44Mj3G00,13191
deeppavlov/models/squad/utils.py,sha256=j4EUA3LiXQy688MX_EIWqRpG88V5KG-okXvZ3rMDXo8,7281
deeppavlov/models/tokenizers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/tokenizers/nltk_moses_tokenizer.py,sha256=2qA2ZQE9k5xT1xrYyhmSdtri8mE465sfbfD-SHOhVjw,1330
deeppavlov/models/tokenizers/nltk_tokenizer.py,sha256=-8K-iqv8FsThuI6Sy7X-aT5kqZyN_LIUmXz8AgtYCPU,1996
deeppavlov/models/tokenizers/ru_sent_tokenizer.py,sha256=2XFhvdqstFe9_nbGuD4m0G6RFU8QKGJmmeBI7_MjIHQ,1480
deeppavlov/models/tokenizers/ru_tokenizer.py,sha256=LJim5DE7VcuWWczzitu_qE9uSlBpg782InMgVF4Qw7k,5980
deeppavlov/models/tokenizers/spacy_tokenizer.py,sha256=KVxgYDP7Ep8-zRjEqms9vw0MKhRwXysiaEN2IpjiYN4,7059
deeppavlov/models/tokenizers/split_tokenizer.py,sha256=6Fk0mlCSwoy2spSxn3TJnZHL_Jb-uEvEpawlawXXYf4,1011
deeppavlov/models/tokenizers/utils.py,sha256=jLWZ2-7-UOO7nX50rZpaYR4lBcZGFZAhg1KclsyCCyE,2085
deeppavlov/models/trackers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/models/trackers/default_tracker.py,sha256=U0SGiqqL6v7V9d1T0pWgtsoEnabE1ixeGHUV384WedY,2044
deeppavlov/models/trackers/hcn_at.py,sha256=qcpcgVl-UZFrRk6lYlm3mUtcvCcQddKueUYRhFcPIu8,3680
deeppavlov/models/trackers/hcn_et.py,sha256=UrIAc_c9m8bZywhLog3a_AeYjy-CvnyDg1o8U9S5gdA,2603
deeppavlov/models/vectorizers/__init__.py,sha256=VkxTuGye-hFK-xpsmdC1VkOL_uCDWqt2NS3erZ4Ihjs,592
deeppavlov/models/vectorizers/hashing_tfidf_vectorizer.py,sha256=NvYreR8Feq3_wqgerZEZSDc--M6SSGy_MQXat1TNc_8,6203
deeppavlov/skills/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/skills/odqa/README.md,sha256=twF8nWWrw0MK2CU2Em4L_U-VoE6N5hzt6nhahzsBqm0,2276
deeppavlov/skills/odqa/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/skills/pattern_matching_skill/__init__.py,sha256=iZlw9k7gGzN_w5x4v2q4wOv4P1zMdoBKCOIn8v52rYQ,38
deeppavlov/skills/pattern_matching_skill/pattern_matching_skill.py,sha256=QaD2wdBVcPbcCTK9pjPr0AudX8Efeh9J3WrfNvlUjRc,1362
deeppavlov/vocabs/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
deeppavlov/vocabs/typos.py,sha256=rVV8tcAmGVV702gG3Ewi6sPKqGWl_lJdNNDv1s96zSo,4342
deeppavlov/vocabs/wiki_sqlite.py,sha256=TDxKvkmJ0OSF1nbMFnQHuRcYI1pLBIw3Q7_SPUlpyEQ,1369
deeppavlov-0.0.6.dist-info/METADATA,sha256=8sGYUc7b_vnxy1MOXbJhRiBq5Q2VzwVcL2Oj0JEG-g8,25736
deeppavlov-0.0.6.dist-info/RECORD,,
deeppavlov-0.0.6.dist-info/WHEEL,sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI,92
deeppavlov-0.0.6.dist-info/top_level.txt,sha256=5nEVMcyqpaJVCMzIQBDFniPf4sOqd4H5bcC-MRDDVOU,17
utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
utils/pip_wrapper/__init__.py,sha256=foQqBg_dwN-X7wktDdAg_MTknQqlNcxjt7mbQVSfXms,26
utils/pip_wrapper/pip_wrapper.py,sha256=tqj6erVfWX3t4t_V32W2YBnbi_L5S-EYfavqSIxMnAk,1884
utils/prepare/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
utils/prepare/registry.py,sha256=vEO56iry4N9j3P7axy-bR9SBYy8q9qKgHpl1KMjhMDw,710
utils/server_utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
utils/server_utils/server.py,sha256=k8bpEshbx9E8_Cd6SqV6ws1a5L_Lma_S-HKa-GpUhyQ,3666
utils/server_utils/server_config.json,sha256=-i-r-HOwliDCr-4egqJfVq1lCFrmGLaN2wLptqot2o4,1211
utils/telegram_utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
utils/telegram_utils/models_info.json,sha256=cV8D2XaJYqdCQIkSUE7ZMyiHngP_6wYsFNWqkguwE34,3226
utils/telegram_utils/telegram_ui.py,sha256=QkUZJ6oOgw8ZB7ExrQSmN0RK1A1cBjARsvpX_xnHpsc,3011
