code-terminator / DilatedRNN
Tensorflow implementation for DilatedRNN
☆349Updated 7 years ago
Alternatives and similar repositories for DilatedRNN:
Users that are interested in DilatedRNN are comparing it to the libraries listed below
- Dilated RNNs in pytorch☆212Updated 5 years ago
- Adaptive Computation Time algorithm in Tensorflow☆256Updated 8 years ago
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆404Updated 5 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆472Updated 5 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 7 years ago
- Nested LSTM Cell☆251Updated 7 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆378Updated 8 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)☆121Updated 2 years ago
- Tools for PyTorch☆221Updated 2 years ago
- supercell☆192Updated 7 years ago
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0☆128Updated 6 years ago
- auto-tuning momentum SGD optimizer☆286Updated 6 years ago
- ☆291Updated 7 years ago
- Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom☆277Updated 7 years ago
- Sequence-to-Sequence learning using PyTorch☆522Updated 5 years ago
- Latent Alignment and Variational Attention☆327Updated 6 years ago
- TensorFlow implementation of Independently Recurrent Neural Networks☆514Updated 3 years ago
- Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).☆394Updated 7 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆364Updated 6 years ago
- One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow☆244Updated 6 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- 🏃 Implementation of Using Fast Weights to Attend to the Recent Past.☆268Updated 6 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆430Updated 7 years ago
- A tensorflow implementation of "Generating Sentences from a Continuous Space"☆227Updated 2 years ago
- Phased LSTM☆301Updated 3 years ago
- Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.☆320Updated 7 years ago
- Implementation of a Variational Auto-Encoder in TensorFlow☆209Updated 8 years ago