Self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks.
Code to reproduce results described in the paper “Sequence Level Training with RNNs” ICLR 2016.
Torch is a scientific computing framework with wide support for machine learning algorithms. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.
Stack RNN is a project gathering the code from the paper Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets by Armand Joulin and Tomas Mikolov.
FastText is a library for text representation and classification.
The bAbI Project is organized towards the goal of automatic text understanding and reasoning.