Jsalim/Stack-RNN
This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
Training autoencoders to reconstruct text to generate valuable summarizations of sentences or paragraphs
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This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.
Serves predictions via a REST API
Simple web service providing a word embedding model
A Python wrapper around the NLPIR/ICTCLAS Chinese segmentation software.