DeepNLP-models-Pytorch：CS-224n（斯坦福大学）中各种Deep NLP模型的Pytorch实现
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2021-02-03
15:18:22
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DeepNLP-models-Pytorch-master.zip （33个子文件） 
DeepNLP-models-Pytorch-master images 
06.rnnlm-architecture.png 41KB 09.rntn-layer.png 59KB 05.neural-dparser-architecture.png 90KB 04.window-classifier-architecture.png 23KB 10.dmn-architecture.png 85KB 08.cnn-for-text-architecture.png 48KB 01.skipgram-prepare-data.png 57KB 07.seq2seq.png 23KB 02.skipgram-objective.png 25KB 04.window-data.png 21KB 03.glove-weighting-function.png 23KB 07.attention-mechanism.png 33KB 05.transition-based-parse.png 46KB 01.skipgram-objective.png 78KB 03.glove-objective.png 14KB 07.pad_to_sequence.png 8KB
Corpus.pyx 1KB LICENSE 1KB setup.py 273B .gitignore 83B README.md 5KB script prepare_dataset.sh 2KB docker-compose.yml 149B notebooks 03.GloVe.ipynb 17KB 01.Skip-gram-Naive-Softmax.ipynb 17KB 06.RNN-Language-Model.ipynb 18KB 09.Recursive-NN-for-Sentiment-Classification.ipynb 33KB 02.Skip-gram-Negative-Sampling.ipynb 15KB 04.Window-Classifier-for-NER.ipynb 16KB 07.Neural-Machine-Translation-with-Attention.ipynb 42KB 08.CNN-for-Text-Classification.ipynb 15KB 05.Neural-Dependancy-Parser.ipynb 41KB 10.Dynamic-Memory-Network-for-Question-Answering.ipynb 26KB
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