zalandoresearch / pytorch-dilated-rnnLinks
Dilated RNNs in pytorch
☆211Updated 6 years ago
Alternatives and similar repositories for pytorch-dilated-rnn
Users that are interested in pytorch-dilated-rnn are comparing it to the libraries listed below
Sorting:
- [ICLR'19] Trellis Networks for Sequence Modeling☆473Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆248Updated 7 years ago
- ☆80Updated 7 years ago
- Tensorflow implementation for DilatedRNN☆354Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Sparse Variational Dropout, ICML 2017☆312Updated 5 years ago
- ☆24Updated 5 years ago
- Tools for loading standard data sets in machine learning☆205Updated 3 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆124Updated 2 years ago
- VQ-VAE implementation / pytorch☆184Updated 8 years ago
- Sparse and structured neural attention mechanisms☆225Updated 5 years ago
- ZForcing Repo☆40Updated 8 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 7 years ago
- Some example scripts on pytorch☆197Updated 4 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 8 years ago
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 7 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆146Updated 7 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 8 years ago
- ☆40Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 8 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆220Updated 7 years ago
- ☆201Updated 8 years ago
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 7 years ago