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根据Tensorflow的自然言语处理模型,为自然言语处理问题搜集机器学习和Tensorflow深度学习模型,100%Jupeyter NoteBooks且内部代码极为简练。

资源收拾自网络,源地址:

https://github.com/huseinzol05

目录


  • Text classification
  • Chatbot
  • Neural Machine Translation
  • Embedded
  • Entity-Tagging
  • POS-Tagging
  • Dependency-Parser
  • Question-Answers
  • Supervised Summarization
  • Unsupervised Summarization
  • Stemming
  • Generator
  • Language detection
  • OCR (optical character recognition)
  • Speech to Text
  • Text to Speech
  • Text Similarity
  • Miscellaneous
  • Attention

方针


原始的完成略微有点杂乱,关于初学者来说有点难。所以我测验将其中大部分内容简化,一起,还有许多论文的内容亟待完成,一步一步来。

内容


文本分类:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/text-classification

1. Basic cell RNN

2. Bidirectional RNN

3. LSTM cell RNN

4. GRU cell RNN

5. LSTM RNN + Conv2D

6. K-max Conv1d

7. LSTM RNN + Conv1D + Highway

8. LSTM RNN with Attention

9. Neural Turing Machine

10. Seq2Seq

11. Bidirectional Transformers

12. Dynamic Memory Network

13. Residual Network using Atrous CNN + Bahdanau Attention

14. Transformer-XL

完好列表包括(66 notebooks)

谈天机器人:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/chatbot

1. Seq2Seq-manual

2. Seq2Seq-API Greedy

3. Bidirectional Seq2Seq-manual

4. Bidirectional Seq2Seq-API Greedy

5. Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong

6. Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder

7. Bytenet

8. Capsule layers + LSTM Seq2Seq-API + Luong Attention + Beam Decoder

9. End-to-End Memory Network

10. Attention is All you need

11. Transformer-XL + LSTM

12. GPT-2 + LSTM

完好列表包括(51 notebooks)

机器翻译(英语到越南语):

链接:

https://github.com/huseinzol05/NLP-ModelsTensorflow/tree/master/neural-machine-translation

1. Seq2Seq-manual

2. Seq2Seq-API Greedy

3. Bidirectional Seq2Seq-manual

4. Bidirectional Seq2Seq-API Greedy

5. Bidirectional Seq2Seq-manual + backward Bahdanau + forward Luong

6. Bidirectional Seq2Seq-API + backward Bahdanau + forward Luong + Stack Bahdanau Luong Attention + Beam Decoder

7. Bytenet

8. Capsule layers + LSTM Seq2Seq-API + Luong Attention + Beam Decoder

9. End-to-End Memory Network

10. Attention is All you need

完好列表包括(49 notebooks)

词向量:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/embedded

1. Word Vector using CBOW sample softmax

2. Word Vector using CBOW noise contrastive estimation

3. Word Vector using skipgram sample softmax

4. Word Vector using skipgram noise contrastive estimation

5. Lda2Vec Tensorflow

6. Supervised Embedded

7. Triplet-loss + LSTM

8. LSTM Auto-Encoder

9. Batch-All Triplet-loss LSTM

10. Fast-text

11. ELMO (biLM)

词性标示:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/pos-tagging

1. Bidirectional RNN + Bahdanau Attention + CRF

2. Bidirectional RNN + Luong Attention + CRF

3. Bidirectional RNN + CRF


实体辨认:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/entity-tagging

1. Bidirectional RNN + Bahdanau Attention + CRF

2. Bidirectional RNN + Luong Attention + CRF

3. Bidirectional RNN + CRF

4. Char Ngrams + Bidirectional RNN + Bahdanau Attention + CRF

5. Char Ngrams + Residual Network + Bahdanau Attention + CRF


依存剖析:

链接:

https://github.com/huseinzol05/NLP-ModelsTensorflow/tree/master/dependency-parser

1. Bidirectional RNN + Bahdanau Attention + CRF

2. Bidirectional RNN + Luong Attention + CRF

3. Residual Network + Bahdanau Attention + CRF

4. Residual Network + Bahdanau Attention + Char Embedded + CRF


问答:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/question-answer

1. End-to-End Memory Network + Basic cell

2. End-to-End Memory Network + GRU cell

3. End-to-End Memory Network + LSTM cell


词干抽取:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/stemming

1. LSTM + Seq2Seq + Beam

2. GRU + Seq2Seq + Beam

3. LSTM + BiRNN + Seq2Seq + Beam

4. GRU + BiRNN + Seq2Seq + Beam

5. DNC + Seq2Seq + Greedy


有监督摘要抽取:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/summarization

1. LSTM Seq2Seq using topic modelling

2. LSTM Seq2Seq + Luong Attention using topic modelling

3. LSTM Seq2Seq + Beam Decoder using topic modelling

4. LSTM Bidirectional + Luong Attention + Beam Decoder using topic modelling

5. LSTM Seq2Seq + Luong Attention + Pointer Generator

6. Bytenet


无监督摘要抽取:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/unsupervised-summarization

1. Skip-thought Vector (unsupervised)

2. Residual Network using Atrous CNN (unsupervised)

3. Residual Network using Atrous CNN + Bahdanau Attention (unsupervised)


OCR (字符辨认):

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/ocr

1. CNN + LSTM RNN


语音辨认:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/speech-to-text

1. Tacotron

2. Bidirectional RNN + Greedy CTC

3. Bidirectional RNN + Beam CTC

4. Seq2Seq + Bahdanau Attention + Beam CTC

5. Seq2Seq + Luong Attention + Beam CTC

6. Bidirectional RNN + Attention + Beam CTC

7. Wavenet


语音组成:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/text-to-speech

1. Tacotron

2. Wavenet

3. Seq2Seq + Luong Attention

4. Seq2Seq + Bahdanau Attention


生成器:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/generator

1. Character-wise RNN + LSTM

2. Character-wise RNN + Beam search

3. Character-wise RNN + LSTM + Embedding

4. Word-wise RNN + LSTM

5. Word-wise RNN + LSTM + Embedding

6. Character-wise + Seq2Seq + GRU

7. Word-wise + Seq2Seq + GRU

8. Character-wise RNN + LSTM + Bahdanau Attention

9. Character-wise RNN + LSTM + Luong Attention


言语检测:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/language-detection

1. Fast-text Char N-Grams


文本相似性:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/text-similarity

1. Character wise similarity + LSTM + Bidirectional

2. Word wise similarity + LSTM + Bidirectional

3. Character wise similarity Triplet loss + LSTM

4. Word wise similarity Triplet loss + LSTM


注意力机制:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/attention

1. Bahdanau

2. Luong

3. Hierarchical

4. Additive

5. Soft

6. Attention-over-Attention

7. Bahdanau API

8. Luong API


其他:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/misc

1. Attention heatmap on Bahdanau Attention

2. Attention heatmap on Luong Attention


非深度学习:

链接:

https://github.com/huseinzol05/NLP-Models-Tensorflow/tree/master/not-deep-learning

1. Markov chatbot

2. Decomposition summarization (3 notebooks)

文章转自:https://mp.weixin.qq.com/s/fQLZybXTltjfXf48Txn4iQ

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