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danrubins
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Face recognition with deep neural networks.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
A torch implementation of http://arxiv.org/abs/1511.06434
Sequence-to-sequence model with LSTM encoder/decoders and attention
Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)
LSTM language model with CNN over characters
Text classification using a convolutional neural network.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
SNLI with word-word attention by LSTM encoder-decoder
Code for Structured Attention Networks https://arxiv.org/abs/1702.00887
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf
Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf
Implementation of [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2]
Torch implementation of seq2seq machine translation with GRU RNN and attention
CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision
RNN for producing text to handwriting image