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Title: GitHub - W1Fl/NLP-Tutorials: Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

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Description: Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com - W1Fl/NLP-Tutorials

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seq2seq.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/seq2seq.py
seq2seq.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/seq2seq.py
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skip-gram.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/skip-gram.py
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transformer.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/transformer.py
transformer.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/transformer.py
utils.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/utils.py
utils.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/utils.py
visual.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/visual.py
visual.pyhttps://github.com/W1Fl/NLP-Tutorials/blob/master/visual.py
READMEhttps://github.com/W1Fl/NLP-Tutorials
MIT licensehttps://github.com/W1Fl/NLP-Tutorials
https://github.com/W1Fl/NLP-Tutorials#natural-language-processing-tutorial
mofanpy.comhttps://mofanpy.com/tutorials/machine-learning/nlp/
TF-IDF numpy / TF-IDF skearnhttps://github.com/W1Fl/NLP-Tutorials#TF-IDF
Continuous Bag of Words (CBOW)https://github.com/W1Fl/NLP-Tutorials#Word2Vec
Skip-Gramhttps://github.com/W1Fl/NLP-Tutorials#Word2Vec
seq2seqhttps://github.com/W1Fl/NLP-Tutorials#Seq2Seq
CNN language modelhttps://github.com/W1Fl/NLP-Tutorials#CNNLanguageModel
seq2seq with attentionhttps://github.com/W1Fl/NLP-Tutorials#Seq2SeqAttention
Transformerhttps://github.com/W1Fl/NLP-Tutorials#Transformer
ELMohttps://github.com/W1Fl/NLP-Tutorials#ELMO
GPThttps://github.com/W1Fl/NLP-Tutorials#GPT
BERThttps://github.com/W1Fl/NLP-Tutorials#BERT
@W1Flhttps://github.com/W1Fl
simple_realizehttps://github.com/W1Fl/NLP-Tutorials/blob/master/simple_realize
https://github.com/W1Fl/NLP-Tutorials#installation
https://github.com/W1Fl/NLP-Tutorials#tf-idf
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https://github.com/W1Fl/NLP-Tutorials#word2vec
Efficient Estimation of Word Representations in Vector Spacehttps://arxiv.org/pdf/1301.3781.pdf
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https://github.com/W1Fl/NLP-Tutorials#seq2seq
Sequence to Sequence Learning with Neural Networkshttps://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf
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https://github.com/W1Fl/NLP-Tutorials#cnnlanguagemodel
Convolutional Neural Networks for Sentence Classificationhttps://arxiv.org/pdf/1408.5882.pdf
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https://github.com/W1Fl/NLP-Tutorials#seq2seqattention
Effective Approaches to Attention-based Neural Machine Translationhttps://arxiv.org/pdf/1508.04025.pdf
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Attention Is All You Needhttps://arxiv.org/pdf/1706.03762.pdf
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https://github.com/W1Fl/NLP-Tutorials#elmo
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Improving Language Understanding by Generative Pre-Traininghttps://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understandinghttps://arxiv.org/pdf/1810.04805.pdf
codehttps://github.com/W1Fl/NLP-Tutorials/blob/master/BERT.py
Bert with window maskhttps://github.com/W1Fl/NLP-Tutorials/blob/master/BERT_window_mask.py
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