Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Image-to-image translation with conditional adversarial nets

Open Source Neural Machine Translation in Torch (deprecated)

Memory Networks implementations

[ICCV 2017] Torch code for Grad-CAM

A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

3.8% and 18.3% on CIFAR-10 and CIFAR-100

Sequence-to-sequence model with LSTM encoder/decoders and attention

Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

natural image generation using ConvNets

❔ Visual Question Answering in Torch

Learning to Execute

Torch implementations of various types of autoencoders

Demos and tutorials around Torch7.

Practical 6: LSTM language models

Torch7 implementation of Grid LSTM as described here: http://arxiv.org/pdf/1507.01526v2.pdf

Generating sound with recurrent neural networks

Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

A package to manipulate manifolds.

Torch implementation for audio neural style.

Im2Text extension to OpenNMT

Training neural networks with back-prop, feedback-alignment and direct feedback-alignment