Target Propagation for Recurrent Neural Networks (TPRNN)

This code allows you to reproduce our results on two language modeling datasets, Penntree Bank (character and word) and wikitext, using various training methods.


This repository contains a Torch implementation for the ResNeXt algorithm for image classification. ResNeXt is a simple, highly modularized network architecture for image classification.


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

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.