Some useful examples of Deep Learning (.py)
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Updated
May 23, 2019 - Python
Some useful examples of Deep Learning (.py)
Use of word embeddings and document similarity to solve word analogy problems
CS224n : Natural Language Processing with Deep Learning Assignments, Winter 2017, Stanford University.
Implement comparison functions for word representations (embeddings) and use the functions and representations to solve semantic similarity tasks
This is a companion chatbot built using NLP. I fully developed the backend of the chatbot which consists of the CNN used to gauge the user's emotion score per each message, the ability of the bot to reply based on classified emotion, keep track of user independent scores, evaluate overall emotional status to provide with consolidation message an…
Various ways to convert word to vectors. Created Date: 16 Feb 2018
A novel approach towards video-ranking using intent and relevance feedback
Toy Implementation of GloVe in Python
The code to calculate similarity of different dataset
Retrieve semantically similar Steam games.
Representing sentences using word vectors semantically and visualizing them in 3 dimensional space
Python interface for building, loading, and using GloVe vectors.
[OUTDATED] A set of classes/scripts for NLP tasks focused on finance data
The experiment with applying NLP to correction of definite/indefinite articles in English text corpus
Bi-Directional Attention Flow for Machine Comprehensions
A simple document and image search engine implemented in keras
A text classification model with pretrained GloVe embeddings
simple pytorch GloVe implementation
A private, free, open-source search engine built on a P2P network
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