imatge-upc / skiprnn-2017-telecombcnLinks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
☆121Updated 2 years ago
Alternatives and similar repositories for skiprnn-2017-telecombcn
Users that are interested in skiprnn-2017-telecombcn are comparing it to the libraries listed below
Sorting:
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- ☆92Updated 8 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- Review Network for Caption Generation☆181Updated 7 years ago
- Cleaned original source code from my NIPS publication☆155Updated 7 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆67Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.☆100Updated 6 years ago
- Latent Alignment and Variational Attention☆327Updated 6 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆100Updated 3 years ago
- Highway networks implemented in PyTorch.☆55Updated 8 years ago
- Recurrent Visual Attention Model☆135Updated 5 years ago
- Torch implementation of seq2seq machine translation with GRU RNN and attention☆77Updated 8 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Updated 7 years ago
- Dynamic evaluation for pytorch language models, now includes hyperparameter tuning☆104Updated 7 years ago
- Bi-Directional Block Self-Attention☆122Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- ☆79Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Training RNNs as Fast as CNNs (Simple Recurrent Unit)☆30Updated 7 years ago
- ☆62Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆61Updated 7 years ago
- Attention is All You Need in Sonnet☆38Updated 7 years ago
- Code and models from the paper "Layer Normalization"☆247Updated 8 years ago
- Decoding Diverse Solutions from Neural Sequence Models☆76Updated 6 years ago