Using pre trained word embeddings (Fasttext, Word2Vec)
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Updated
Jun 19, 2018 - Python
Using pre trained word embeddings (Fasttext, Word2Vec)
一个文本分类的项目,这个项目实现了三种文本分类的方法,从一开始的随机森林,到fasttext,最后是基于BERT预训练模型训练出自己的文本分类模型;还包括模型的压缩,比如模型量化,模型蒸馏等操作;是一个完整的项目
Language detection using Spacy and Fasttext
Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks
Tools for working with fastText, an open-source library from the Facebook AI Research lab, in Python
Sentiment Analysis of Kaggle Yelp Reviews using FastText.
API that answers questions related to the University of Bonn.
Automatic paper clustering and search tool by fastext from Facebook Research
Humor Detection App with Streamlit and fastText
Simplest text classification implemented with Facebook FastText library
Do some analysis based on main AI conferences
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