Cluedatasetsearch搜索所有中文NLP数据集，附常用英文NLP数据集
Stars: ✭ 2,112 (+4210.2%)
Mutual labels: qa, chinese, machine-reading-comprehension
Clue中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
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Mutual labels: chinese, albert, bert
CLUE pytorchCLUE baseline pytorch CLUE的pytorch版本基线
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Mutual labels: chinese, albert, bert
AiSpaceAiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
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Mutual labels: chinese, bert
NLPDataAugmentationChinese NLP Data Augmentation， BERT Contextual Augmentation
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Mutual labels: chinese, bert
Nlp chinese corpus大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Stars: ✭ 6,656 (+13483.67%)
Mutual labels: chinese, bert
OpenDialogAn Open-Source Package for Chinese Open-domain Conversational Chatbot (中文闲聊对话系统，一键部署微信闲聊机器人)
Stars: ✭ 94 (+91.84%)
Mutual labels: chinese, bert
Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: ✭ 28 (-42.86%)
Mutual labels: albert, bert
bert nliA Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)
Stars: ✭ 97 (+97.96%)
Mutual labels: albert, bert
tfbert基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。
Stars: ✭ 54 (+10.2%)
Mutual labels: albert, bert
classifier multi labelmulti-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification
Stars: ✭ 127 (+159.18%)
Mutual labels: albert, bert
embedding study中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果
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Mutual labels: chinese, bert
Roberta zhRoBERTa中文预训练模型: RoBERTa for Chinese
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Mutual labels: chinese, bert
NLP-paper🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/
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Mutual labels: albert, bert
ALBERT-PytorchPytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)
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Mutual labels: albert, bert
FewCLUEFewCLUE 小样本学习测评基准，中文版
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Mutual labels: chinese, bert
classifier multi label seq2seq attentionmulti-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search
Stars: ✭ 26 (-46.94%)
Mutual labels: albert, bert
Medi-CoQAConversational Question Answering on Clinical Text
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Mutual labels: albert, bert
