Finds out symptoms similar to a given symptom, from a symptom-disease data set.
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Updated
Mar 7, 2018 - Python
Finds out symptoms similar to a given symptom, from a symptom-disease data set.
GloVe word vector embedding experiments (similar to Word2Vec)
Using word vectors to classify spam messages
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
A text classification model with pretrained GloVe embeddings
Deep Learning model which uses Computer Vision and NLP to generate captions for images
Julia interface to GloVe
simple pytorch GloVe implementation
Named-entity datasets and GloVe models for the Armenian language
A simple document and image search engine implemented in keras
Intent Classification of Bank Customer Complaints for Helping Chatbots
Python interface for building, loading, and using GloVe vectors.
[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data
Bi-Directional Attention Flow for Machine Comprehensions
A private, free, open-source search engine built on a P2P network
Cross-Topic Quotes Generation using Word Embeddings
LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
Abstractive and extractive text summarizer. The abstractive text summarizer is done using the T5Tokenizer. The extractive text summarizer is done with the help of glove word embeddings. Along with this other NLP libraries like nltk used.
Some useful examples of Deep Learning (.py)
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