Orkis-Research / Quaternion-Recurrent-Neural-NetworksLinks
This is the code for the paper 'Quaternion Recurrent Neural Networks'.
☆59Updated 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
Sorting:
- 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…☆66Updated 6 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch☆216Updated 5 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 8 years ago
- ☆24Updated 5 years ago
- ☆40Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable R…☆156Updated 7 years ago
- Implementation of soft dynamic time warping in pytorch☆99Updated 4 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"☆14Updated 6 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆50Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "Scalable Factorized Hierarchical Variational Autoencoders…☆53Updated 7 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 8 years ago
- Differentiable Dynamic Programming☆70Updated 5 years ago
- ☆27Updated 8 years ago
- Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification☆37Updated 7 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 8 years ago
- Unofficial complex tensor and scalar support for Pytorch☆80Updated 2 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- Representation learning for NLP @ JSALT19☆39Updated 4 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- ☆22Updated 6 years ago
- ☆121Updated 5 years ago
- Experiments for TwinNet paper☆13Updated 7 years ago
- STCN: Stochastic Temporal Convolutional Networks☆69Updated 5 years ago
- Code for reversible recurrent neural networks☆39Updated 6 years ago
- WaveNet implementation with chainer☆56Updated 8 years ago
- Pytorch implementation of time-domain filterbanks☆112Updated 4 years ago
- Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…☆44Updated 6 years ago