Orkis-Research / Quaternion-Recurrent-Neural-Networks
This is the code for the paper 'Quaternion Recurrent Neural Networks'.
☆58Updated 6 years ago
Alternatives and similar repositories for Quaternion-Recurrent-Neural-Networks:
Users that are interested in Quaternion-Recurrent-Neural-Networks are comparing it to the libraries listed below
- 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…☆64Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Differentiable Dynamic Programming☆69Updated 4 years ago
- This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch☆209Updated 5 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆80Updated 6 years ago
- ☆24Updated 4 years ago
- ☆22Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 6 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- ☆120Updated 5 years ago
- Code for reversible recurrent neural networks☆38Updated 6 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Repository for ACL 2019 paper☆73Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Implementation of REBAR in PyTorch☆17Updated 6 years ago
- Professor Forcing, NIPS'16☆46Updated 7 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 6 years ago
- This is a PyTorch implementation of the ICLR 2017 paper "HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS" (https://openreview.net/pdf?i…☆51Updated 7 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- ☆27Updated 7 years ago
- Code for reproducing results in "Generative Model with Dynamic Linear Flow"☆70Updated 5 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 7 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Updated 6 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Updated 7 years ago
- ☆24Updated 5 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago