Using pre trained word embeddings (Fasttext, Word2Vec)
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Updated
Jun 19, 2018 - Python
Using pre trained word embeddings (Fasttext, Word2Vec)
Language detection using Spacy and Fasttext
Tools for working with fastText, an open-source library from the Facebook AI Research lab, in Python
API that answers questions related to the University of Bonn.
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Sentiment Analysis of Kaggle Yelp Reviews using FastText.
Theoretical and Implementation of different word embedding methods
Humor Detection App with Streamlit and fastText
This is one of my fun projects. It's a review classifier based on Amazon's reviews dataset hosted on Kaggle. I used FastText and Deep Learning model LSTM to build it.
My ML and DL repo
Sentiment analysis using fastText model.
Unsupervised deep-learning image registration model (Machine Learning @ EPFL)
Simplest text classification implemented with Facebook FastText library
Automatic paper clustering and search tool by fastext from Facebook Research
Fake News Detection using fastText supervised learning
Word and character embedding
Various types of datascience projects
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