{
    "info": {
        "author": "FudanNLP",
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        "description": "# fastNLP\n\n[![Build Status](https://travis-ci.org/fastnlp/fastNLP.svg?branch=master)](https://travis-ci.org/fastnlp/fastNLP)\n[![codecov](https://codecov.io/gh/fastnlp/fastNLP/branch/master/graph/badge.svg)](https://codecov.io/gh/fastnlp/fastNLP)\n[![Pypi](https://img.shields.io/pypi/v/fastNLP.svg)](https://pypi.org/project/fastNLP)\n![Hex.pm](https://img.shields.io/hexpm/l/plug.svg)\n[![Documentation Status](https://readthedocs.org/projects/fastnlp/badge/?version=latest)](http://fastnlp.readthedocs.io/?badge=latest)\n\nfastNLP \u662f\u4e00\u6b3e\u8f7b\u91cf\u7ea7\u7684 NLP \u5de5\u5177\u5305\u3002\u4f60\u65e2\u53ef\u4ee5\u4f7f\u7528\u5b83\u5feb\u901f\u5730\u5b8c\u6210\u4e00\u4e2a\u5e8f\u5217\u6807\u6ce8\uff08[NER](reproduction/sequence_labelling/ner)\u3001POS-Tagging\u7b49\uff09\u3001\u4e2d\u6587\u5206\u8bcd\u3001[\u6587\u672c\u5206\u7c7b](reproduction/text_classification)\u3001[Matching](reproduction/matching)\u3001[\u6307\u4ee3\u6d88\u89e3](reproduction/coreference_resolution)\u3001[\u6458\u8981](reproduction/Summarization)\u7b49\u4efb\u52a1\uff1b \u4e5f\u53ef\u4ee5\u4f7f\u7528\u5b83\u5feb\u901f\u6784\u5efa\u8bb8\u591a\u590d\u6742\u7684\u7f51\u7edc\u6a21\u578b\uff0c\u8fdb\u884c\u79d1\u7814\u3002\u5b83\u5177\u6709\u5982\u4e0b\u7684\u7279\u6027\uff1a\n\n- \u7edf\u4e00\u7684Tabular\u5f0f\u6570\u636e\u5bb9\u5668\uff0c\u8ba9\u6570\u636e\u9884\u5904\u7406\u8fc7\u7a0b\u7b80\u6d01\u660e\u4e86\u3002\u5185\u7f6e\u591a\u79cd\u6570\u636e\u96c6\u7684Loader\u548cPipe\uff0c\u7701\u53bb\u9884\u5904\u7406\u4ee3\u7801;\n- \u591a\u79cd\u8bad\u7ec3\u3001\u6d4b\u8bd5\u7ec4\u4ef6\uff0c\u4f8b\u5982\u8bad\u7ec3\u5668Trainer\uff1b\u6d4b\u8bd5\u5668Tester\uff1b\u4ee5\u53ca\u5404\u79cd\u8bc4\u6d4bmetrics\u7b49\u7b49;\n- \u5404\u79cd\u65b9\u4fbf\u7684NLP\u5de5\u5177\uff0c\u4f8b\u5982\u9884\u5904\u7406embedding\u52a0\u8f7d\uff08\u5305\u62ecELMo\u548cBERT\uff09; \u4e2d\u95f4\u6570\u636ecache\u7b49;\n- \u90e8\u5206[\u6570\u636e\u96c6\u4e0e\u9884\u8bad\u7ec3\u6a21\u578b](https://docs.qq.com/sheet/DVnpkTnF6VW9UeXdh?c=A1A0A0)\u7684\u81ea\u52a8\u4e0b\u8f7d\n- \u8be6\u5c3d\u7684\u4e2d\u6587[\u6587\u6863](https://fastnlp.readthedocs.io/)\u3001[\u6559\u7a0b](https://fastnlp.readthedocs.io/zh/latest/user/tutorials.html)\u4ee5\u4f9b\u67e5\u9605;\n- \u63d0\u4f9b\u8bf8\u591a\u9ad8\u7ea7\u6a21\u5757\uff0c\u4f8b\u5982Variational LSTM, Transformer, CRF\u7b49;\n- \u5728\u5e8f\u5217\u6807\u6ce8\u3001\u4e2d\u6587\u5206\u8bcd\u3001\u6587\u672c\u5206\u7c7b\u3001Matching\u3001\u6307\u4ee3\u6d88\u89e3\u3001\u6458\u8981\u7b49\u4efb\u52a1\u4e0a\u5c01\u88c5\u4e86\u5404\u79cd\u6a21\u578b\u53ef\u4f9b\u76f4\u63a5\u4f7f\u7528\uff0c\u8be6\u7ec6\u5185\u5bb9\u89c1 [reproduction](reproduction) \u90e8\u5206;\n- \u4fbf\u6377\u4e14\u5177\u6709\u6269\u5c55\u6027\u7684\u8bad\u7ec3\u5668; \u63d0\u4f9b\u591a\u79cd\u5185\u7f6ecallback\u51fd\u6570\uff0c\u65b9\u4fbf\u5b9e\u9a8c\u8bb0\u5f55\u3001\u5f02\u5e38\u6355\u83b7\u7b49\u3002\n\n\n## \u5b89\u88c5\u6307\u5357\n\nfastNLP \u4f9d\u8d56\u4ee5\u4e0b\u5305:\n\n+ numpy>=1.14.2\n+ torch>=1.0.0\n+ tqdm>=4.28.1\n+ nltk>=3.4.1\n+ requests\n+ spacy\n+ prettytable>=0.7.2\n\n\u5176\u4e2dtorch\u7684\u5b89\u88c5\u53ef\u80fd\u4e0e\u64cd\u4f5c\u7cfb\u7edf\u53ca CUDA \u7684\u7248\u672c\u76f8\u5173\uff0c\u8bf7\u53c2\u89c1 [PyTorch \u5b98\u7f51](https://pytorch.org/) \u3002 \n\u5728\u4f9d\u8d56\u5305\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u53ef\u4ee5\u5728\u547d\u4ee4\u884c\u6267\u884c\u5982\u4e0b\u6307\u4ee4\u5b8c\u6210\u5b89\u88c5\n\n```shell\npip install fastNLP\npython -m spacy download en\n```\n\n\n## fastNLP\u6559\u7a0b\n\n### \u5feb\u901f\u5165\u95e8\n\n- [0. \u5feb\u901f\u5165\u95e8](https://fastnlp.readthedocs.io/zh/latest/user/quickstart.html)\n\n### \u8be6\u7ec6\u4f7f\u7528\u6559\u7a0b\n\n- [1. \u4f7f\u7528DataSet\u9884\u5904\u7406\u6587\u672c](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_1_data_preprocess.html)\n- [2. \u4f7f\u7528Vocabulary\u8f6c\u6362\u6587\u672c\u4e0eindex](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_2_vocabulary.html)\n- [3. \u4f7f\u7528Embedding\u6a21\u5757\u5c06\u6587\u672c\u8f6c\u6210\u5411\u91cf](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_3_embedding.html)\n- [4. \u4f7f\u7528Loader\u548cPipe\u52a0\u8f7d\u5e76\u5904\u7406\u6570\u636e\u96c6](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_4_load_dataset.html)\n- [5. \u52a8\u624b\u5b9e\u73b0\u4e00\u4e2a\u6587\u672c\u5206\u7c7b\u5668I-\u4f7f\u7528Trainer\u548cTester\u5feb\u901f\u8bad\u7ec3\u548c\u6d4b\u8bd5](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_5_loss_optimizer.html)\n- [6. \u52a8\u624b\u5b9e\u73b0\u4e00\u4e2a\u6587\u672c\u5206\u7c7b\u5668II-\u4f7f\u7528DataSetIter\u5b9e\u73b0\u81ea\u5b9a\u4e49\u8bad\u7ec3\u8fc7\u7a0b](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_6_datasetiter.html)\n- [7. \u4f7f\u7528Metric\u5feb\u901f\u8bc4\u6d4b\u4f60\u7684\u6a21\u578b](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_7_metrics.html)\n- [8. \u4f7f\u7528Modules\u548cModels\u5feb\u901f\u642d\u5efa\u81ea\u5b9a\u4e49\u6a21\u578b](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_8_modules_models.html)\n- [9. \u5feb\u901f\u5b9e\u73b0\u5e8f\u5217\u6807\u6ce8\u6a21\u578b](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_9_seq_labeling.html)\n- [10. \u4f7f\u7528Callback\u81ea\u5b9a\u4e49\u4f60\u7684\u8bad\u7ec3\u8fc7\u7a0b](https://fastnlp.readthedocs.io/zh/latest/tutorials/tutorial_10_callback.html)\n\n### \u6269\u5c55\u6559\u7a0b\n\n- [Extend-1. BertEmbedding\u7684\u5404\u79cd\u7528\u6cd5](https://fastnlp.readthedocs.io/zh/latest/tutorials/extend_1_bert_embedding.html)\n- [Extend-2. \u4f7f\u7528fitlog \u8f85\u52a9 fastNLP \u8fdb\u884c\u79d1\u7814](https://fastnlp.readthedocs.io/zh/latest/tutorials/extend_2_fitlog.html)\n\n\n## \u5185\u7f6e\u7ec4\u4ef6\n\n\u5927\u90e8\u5206\u7528\u4e8e\u7684 NLP \u4efb\u52a1\u795e\u7ecf\u7f51\u7edc\u90fd\u53ef\u4ee5\u770b\u505a\u7531\u8bcd\u5d4c\u5165\uff08embeddings\uff09\u548c\u4e24\u79cd\u6a21\u5757\uff1a\u7f16\u7801\u5668\uff08encoder\uff09\u3001\u89e3\u7801\u5668\uff08decoder\uff09\u7ec4\u6210\u3002\n\n\u4ee5\u6587\u672c\u5206\u7c7b\u4efb\u52a1\u4e3a\u4f8b\uff0c\u4e0b\u56fe\u5c55\u793a\u4e86\u4e00\u4e2aBiLSTM+Attention\u5b9e\u73b0\u6587\u672c\u5206\u7c7b\u5668\u7684\u6a21\u578b\u6d41\u7a0b\u56fe\uff1a\n\n\n![](./docs/source/figures/text_classification.png)\n\nfastNLP \u5728 embeddings \u6a21\u5757\u4e2d\u5185\u7f6e\u4e86\u51e0\u79cd\u4e0d\u540c\u7684embedding\uff1a\u9759\u6001embedding\uff08GloVe\u3001word2vec\uff09\u3001\u4e0a\u4e0b\u6587\u76f8\u5173embedding\n\uff08ELMo\u3001BERT\uff09\u3001\u5b57\u7b26embedding\uff08\u57fa\u4e8eCNN\u6216\u8005LSTM\u7684CharEmbedding\uff09\n\n\u4e0e\u6b64\u540c\u65f6\uff0cfastNLP \u5728 modules \u6a21\u5757\u4e2d\u5185\u7f6e\u4e86\u4e24\u79cd\u6a21\u5757\u7684\u8bf8\u591a\u7ec4\u4ef6\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u642d\u5efa\u81ea\u5df1\u6240\u9700\u7684\u7f51\u7edc\u3002 \u4e24\u79cd\u6a21\u5757\u7684\u529f\u80fd\u548c\u5e38\u89c1\u7ec4\u4ef6\u5982\u4e0b:\n\n<table>\n<tr>\n    <td><b> \u7c7b\u578b </b></td>\n    <td><b> \u529f\u80fd </b></td>\n    <td><b> \u4f8b\u5b50 </b></td>\n</tr>\n<tr>\n    <td> encoder </td>\n    <td> \u5c06\u8f93\u5165\u7f16\u7801\u4e3a\u5177\u6709\u5177\u6709\u8868\u793a\u80fd\u529b\u7684\u5411\u91cf </td>\n    <td> Embedding, RNN, CNN, Transformer, ...\n</tr>\n<tr>\n    <td> decoder </td>\n    <td> \u5c06\u5177\u6709\u67d0\u79cd\u8868\u793a\u610f\u4e49\u7684\u5411\u91cf\u89e3\u7801\u4e3a\u9700\u8981\u7684\u8f93\u51fa\u5f62\u5f0f </td>\n    <td> MLP, CRF, ... </td>\n</tr>\n</table>\n\n\n## \u9879\u76ee\u7ed3\u6784\n\n![](./docs/source/figures/workflow.png)\n\nfastNLP\u7684\u5927\u81f4\u5de5\u4f5c\u6d41\u7a0b\u5982\u4e0a\u56fe\u6240\u793a\uff0c\u800c\u9879\u76ee\u7ed3\u6784\u5982\u4e0b\uff1a\n\n<table>\n<tr>\n    <td><b> fastNLP </b></td>\n    <td> \u5f00\u6e90\u7684\u81ea\u7136\u8bed\u8a00\u5904\u7406\u5e93 </td>\n</tr>\n<tr>\n    <td><b> fastNLP.core </b></td>\n    <td> \u5b9e\u73b0\u4e86\u6838\u5fc3\u529f\u80fd\uff0c\u5305\u62ec\u6570\u636e\u5904\u7406\u7ec4\u4ef6\u3001\u8bad\u7ec3\u5668\u3001\u6d4b\u8bd5\u5668\u7b49 </td>\n</tr>\n<tr>\n    <td><b> fastNLP.models </b></td>\n    <td> \u5b9e\u73b0\u4e86\u4e00\u4e9b\u5b8c\u6574\u7684\u795e\u7ecf\u7f51\u7edc\u6a21\u578b </td>\n</tr>\n<tr>\n    <td><b> fastNLP.modules </b></td>\n    <td> \u5b9e\u73b0\u4e86\u7528\u4e8e\u642d\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u8bf8\u591a\u7ec4\u4ef6 </td>\n</tr>\n<tr>\n    <td><b> fastNLP.embeddings </b></td>\n    <td> \u5b9e\u73b0\u4e86\u5c06\u5e8f\u5217index\u8f6c\u4e3a\u5411\u91cf\u5e8f\u5217\u7684\u529f\u80fd\uff0c\u5305\u62ec\u8bfb\u53d6\u9884\u8bad\u7ec3embedding\u7b49 </td>\n</tr>\n<tr>\n    <td><b> fastNLP.io </b></td>\n    <td> \u5b9e\u73b0\u4e86\u8bfb\u5199\u529f\u80fd\uff0c\u5305\u62ec\u6570\u636e\u8bfb\u5165\u4e0e\u9884\u5904\u7406\uff0c\u6a21\u578b\u8bfb\u5199\uff0c\u6570\u636e\u4e0e\u6a21\u578b\u81ea\u52a8\u4e0b\u8f7d\u7b49 </td>\n</tr>\n</table>\n\n<hr>\n\n*In memory of @FengZiYjun.  May his soul rest in peace. We will miss you very very much!*\n\n\n",
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