batzner / indrnn
TensorFlow implementation of Independently Recurrent Neural Networks
☆513Updated 3 years ago
Alternatives and similar repositories for indrnn:
Users that are interested in indrnn are comparing it to the libraries listed below
- [ICLR'19] Trellis Networks for Sequence Modeling☆472Updated 5 years ago
- Tensorflow implementation for DilatedRNN☆349Updated 7 years ago
- Nested LSTM Cell☆251Updated 7 years ago
- A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)☆305Updated 7 years ago
- Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.☆375Updated 7 years ago
- pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831☆121Updated 6 years ago
- PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM☆1,261Updated 3 years ago
- Visualizing RNNs using the attention mechanism☆750Updated 5 years ago
- An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow☆420Updated 7 years ago
- Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction☆502Updated 3 years ago
- Tensorflow implementation of attention mechanism for text classification tasks.☆748Updated 5 years ago
- Sequence-to-Sequence learning using PyTorch☆522Updated 5 years ago
- Latent Alignment and Variational Attention☆327Updated 6 years ago
- PyTorch implementation of NIPS 2017 paper Dynamic Routing Between Capsules☆493Updated 4 years ago
- Sequence to sequence learning using TensorFlow.☆389Updated 7 years ago
- This is the code for "Capsule Networks: An Improvement to Convolutional Networks" by Siraj Raval on Youtube☆569Updated 4 years ago
- sliced-rnn☆471Updated 6 years ago
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆402Updated 5 years ago
- Pytorch implementation of Hinton's Dynamic Routing Between Capsules☆632Updated 7 years ago
- A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.☆399Updated last year
- Practical Examples for RNNs in Tensorflow☆483Updated 8 years ago
- Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).☆394Updated 7 years ago
- TensorFlow implementation of 'Attention Is All You Need (2017. 6)'☆348Updated 7 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆279Updated 6 years ago
- auto-tuning momentum SGD optimizer☆423Updated 7 years ago
- A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs…☆514Updated 6 years ago
- Batch normalized LSTM for tensorflow☆179Updated 8 years ago
- This code is to implement the IndRNN.☆69Updated 5 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆365Updated 6 years ago
- Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.☆321Updated 6 years ago