Orkis-Research / Quaternion-Recurrent-Neural-Networks
This is the code for the paper 'Quaternion Recurrent Neural Networks'.
☆57Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Quaternion-Recurrent-Neural-Networks
- Orkis-Research / Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-RecognitionThis is the code for the paper 'Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition'. It provides all th…☆63Updated 5 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆81Updated 6 years ago
- This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch☆205Updated 4 years ago
- Code for reversible recurrent neural networks☆38Updated 5 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆52Updated 6 years ago
- ☆24Updated 4 years ago
- ☆22Updated 5 years ago
- ☆39Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆153Updated 6 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- Experiments for TwinNet paper☆13Updated 6 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆62Updated 4 years ago
- ☆116Updated 5 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆48Updated 3 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- ☆24Updated 4 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 4 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆53Updated 7 years ago
- Experiments with binary LSTM using gumbel-sigmoid☆30Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆90Updated 7 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Adversarial Non-linear Independent Component Analysis☆49Updated 7 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆70Updated 5 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆45Updated 5 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆100Updated 2 years ago
- Differentiable Dynamic Programming☆69Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago