v0lta / Spectral-RNNLinks
Spectral RNNs with adaptive window learning in TensorFlow, ICANN 2020.
☆10Updated 4 years ago
Alternatives and similar repositories for Spectral-RNN
Users that are interested in Spectral-RNN are comparing it to the libraries listed below
Sorting:
- A Recurrent Latent Variable Model for Sequential Data☆28Updated 7 years ago
- Implementation of Deep Variational Bayes Filter☆13Updated 6 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆20Updated 6 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Updated 4 years ago
- ☆40Updated 7 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Updated 8 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 3 years ago
- Bayesian Gaussian mixture models in Python.☆64Updated 2 years ago
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆23Updated 6 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 11 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆100Updated 4 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 7 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆49Updated 4 years ago
- PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.☆14Updated 6 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆122Updated 6 years ago
- pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…☆21Updated 5 years ago
- ZForcing Repo☆40Updated 8 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 12 years ago
- ☆24Updated 6 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆48Updated 6 years ago
- [AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks☆24Updated 5 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- Variational Inference in Gaussian Mixture Model☆61Updated 5 years ago
- NLSTM Nested LSTM in Pytorch☆17Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆209Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated last year
- Kalman Variational Auto-Encoder☆140Updated 6 years ago