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32 search results found
Awesome Pretrained Chinese Nlp Models
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3,738
Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
Albert_zh
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3,723
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Texar
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2,008
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow
Keras Textclassification
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1,641
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastTex RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Spacy Transformers
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1,302
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Nlp_xiaojiang
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1,129
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Senten Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征
Transformers4rec
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974
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Textgen
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842
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,
Bert Multi Label Text Classification
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761
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Texar Pytorch
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711
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Gector
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680
Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
Slot_filling_and_intent_detection_of_slu
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289
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
Embedding As Service
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182
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Xlnet_zh
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175
中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large
Keras Xlnet
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165
Implementation of XLNet that can load pretrained checkpoints
Xlnet_extension_tf
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112
XLNet Extension in TensorFlow
Dialogue Generation
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105
Generating responses with pretrained XLNet and GPT-2 in PyTorch.
Hpsg Neural Parser
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62
Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
Clue_pytorch
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61
CLUE baseline pytorch CLUE的pytorch版本基线
Aispace
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28
AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0
Xlnet Chinesener
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27
Tensorflow solution of NER task Using BiLSTM-CRF model with CMU/Google XLNet
Semantic Document Relations
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18
Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
Distilkobilstm
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17
Distilling Task-Specific Knowledge from Teacher Model into BiLSTM
Xlnet_embbeding
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16
Using XLNet as Embedding of Keras
Text Summarizer
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16
Comparing state of the art models for text summary generation
Transformer Xl
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16
A lightweight PyTorch implementation of the Transformer-XL architecture proposed by Dai et al. (2019)
Semeval2022 Task6 Sarcasm Detection
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11
Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.
Xlnet_sequence_tagging
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8
Use the famous language model, xlnet, to do sequence tagging/ sequence labelling/ named entity recognition(NER) / noun extraction;
Text_summarization
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7
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
Xl Net Chinese Task
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7
简化了一下 api,方便修改
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Simpleclassification
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6
Simple Text Classification[WIP]
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