深度学习自然语言处理模型实现大集合

深度学习自然语言处理模型实现大集合_第1张图片

    本资源整理了现有常见NLP深度学习模型,借鉴相关TensorFlow和Pytorch代码实现相关的模型代码,对绝大多数NLP模型进行精简,多数模型都是用不到100行代码实现的,(注释或空行除外)。

    资源整理自网络,带链接源地址:https://github.com/graykode/nlp-tutorial

 

    从NLP中的第一个语言模型NNLM开始,逐步包括RNN,LSTM,TextCNN,Word2Vec等经典模型。帮助读者更轻松地学习NLP模型,实现和训练各种seq2seq,attention注意力模型,bi-LSTM attenton,Transformer(self-attention)到BERT模型等等。

 

    1. Embedding 语言Model

    •1-1. NNLM(Neural Network Language Model) - Predict Next Word

    oPaper - A Neural Probabilistic Language Model(2003)

    oColab - NNLM_Tensor.ipynb, NNLM_Torch.ipynb

    •1-2. Word2Vec(Skip-gram) - Embedding Words and Show Graph

    oPaper - Distributed Representations of Words and Phrases and their Compositionality(2013)

    oColab - Word2Vec_Tensor(NCE_loss).ipynb, Word2Vec_Tensor(Softmax).ipynb, Word2Vec_Torch(Softmax).ipynb

    •1-3. FastText(Application Level) - Sentence Classification

    oPaper - Bag of Tricks for Efficient Text Classification(2016)

    oColab - FastText.ipynb

 

    2. CNN(Convolutional Neural Network)

    •2-1. TextCNN - Binary Sentiment Classification

    oPaper - Convolutional Neural Networks for Sentence Classification(2014)

    oColab - TextCNN_Tensor.ipynb, TextCNN_Torch.ipynb

    •2-2. DCNN(Dynamic Convolutional Neural Network)

 

    3. RNN(Recurrent Neural Network)

    •3-1. TextRNN - Predict Next Step

    oPaper - Finding Structure in Time(1990)

    oColab - TextRNN_Tensor.ipynb, TextRNN_Torch.ipynb

    •3-2. TextLSTM - Autocomplete

    oPaper - LONG SHORT-TERM MEMORY(1997)

    oColab - TextLSTM_Tensor.ipynb, TextLSTM_Torch.ipynb

    •3-3. Bi-LSTM - Predict Next Word in Long Sentence

    oColab - Bi_LSTM_Tensor.ipynb, Bi_LSTM_Torch.ipynb

 

    4. Attention Mechanism

    •4-1. Seq2Seq - Change Word

    oPaper - Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation(2014)

    oColab - Seq2Seq_Tensor.ipynb, Seq2Seq_Torch.ipynb

    •4-2. Seq2Seq with Attention - Translate

    oPaper - Neural Machine Translation by Jointly Learning to Align and Translate(2014)

    oColab - Seq2Seq(Attention)_Tensor.ipynb, Seq2Seq(Attention)_Torch.ipynb

    •4-3. Bi-LSTM with Attention - Binary Sentiment Classification

    oColab - Bi_LSTM(Attention)_Tensor.ipynb, Bi_LSTM(Attention)_Torch.ipynb

 

    5. Model based on Transformer

    •5-1. The Transformer - Translate

    oPaper - Attention Is All You Need(2017)

    oColab - Transformer_Torch.ipynb, Transformer(Greedy_decoder)_Torch.ipynb

    •5-2. BERT - Classification Next Sentence & Predict Masked Tokens

    oPaper - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding(2018)

    oColab - BERT_Torch.ipynb

深度学习自然语言处理模型实现大集合_第2张图片

 

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