imatge-upc / skiprnn-2017-telecombcn
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
☆121Updated last year
Alternatives and similar repositories for skiprnn-2017-telecombcn:
Users that are interested in skiprnn-2017-telecombcn are comparing it to the libraries listed below
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 8 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- ☆92Updated 7 years ago
- fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer☆64Updated 7 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Training RNNs as Fast as CNNs (Simple Recurrent Unit)☆30Updated 7 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 3 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 7 years ago
- Sparse and structured neural attention mechanisms☆222Updated 4 years ago
- Lasagne code for weight normalization☆87Updated 8 years ago
- Bi-Directional Block Self-Attention☆123Updated 6 years ago
- Code and models from the paper "Layer Normalization"☆244Updated 8 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- ☆79Updated 7 years ago
- Latent Alignment and Variational Attention☆326Updated 6 years ago
- Tensorflow implementation of Recursive Neural Networks using LSTM units☆136Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Top-down Tree LSTM (NAACL 2016) http://aclweb.org/anthology/N/N16/N16-1035.pdf☆83Updated 8 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- ☆79Updated 7 years ago
- Code Samples from Neural Networks for NLP☆72Updated 7 years ago
- ☆63Updated 7 years ago
- Code for Structured Attention Networks https://arxiv.org/abs/1702.00887☆237Updated 7 years ago
- Review Network for Caption Generation☆181Updated 7 years ago
- Torch implementation of seq2seq machine translation with GRU RNN and attention☆77Updated 8 years ago
- ☆64Updated 7 years ago
- Highway networks implemented in PyTorch.☆56Updated 7 years ago