Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Efficient, reusable RNNs and LSTMs for torch

Memory Networks implementations

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

Neural Attention Model for Abstractive Summarization

Neural conversational model in Torch

Autograd automatically differentiates native Torch code

A deep learning library for streamlining research and development using the Torch7 distribution.

Facebook's extensions to torch/nn.

Implementation of Variational Auto-Encoder in Torch7

deep extensions to nn

An implementation of the RL-NTM from http://arxiv.org/abs/1505.00521

DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf

Torch implementation of DRAW: A Recurrent Neural Network For Image Generation

Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.

Word2Vec implementation in Torch

word2vec implementation for torch7

Component Analysis using Torch7 (PCA, Whitened PCA, LDA, LPP, NPP, FastICA)

DeNSe parser in Dependency Parsing as Head Selection (EACL 2017) https://arxiv.org/abs/1606.01280

Implementations of differentiable stacks, queues, and deques from "Learning to Transduce with Unbounded Memory"

Torch Linear Unit with Orthogonal Weight Initialization

Code repo for ACL'17