NLP_projects

Reuters document classification : reuters dataset classification with Embedding layer (50) trained from the scratch.
Patient-drug match by calculating text similarities : using traditional BOW model with gensim similarity to match patient entries with relevant articles
NLP and pytorch approaches to solve simple NLP tasks
NLP and pytorch approaches to solve simple NLP tasks
NLP and pytorch approaches to solve simple NLP tasks
text generator (Keras) trained on Shakespeare sonnets

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
1.ReutersDocumentClassification.ipynb		1.ReutersDocumentClassification.ipynb
2.patient_drug_match_using_gensim_similarity.ipynb		2.patient_drug_match_using_gensim_similarity.ipynb
3.torch_simple_bow_example.ipynb		3.torch_simple_bow_example.ipynb
4.torch_N-Gram_language_model_using_embeddings.ipynb		4.torch_N-Gram_language_model_using_embeddings.ipynb
5.torch_CBOW_with_embeddings.ipynb		5.torch_CBOW_with_embeddings.ipynb
6.virtual_shakespeare.ipynb		6.virtual_shakespeare.ipynb
README.md		README.md
ReutersDocumentClassification.ipynb		ReutersDocumentClassification.ipynb

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