emited / VariationalRecurrentNeuralNetworkLinks
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
☆285Updated 3 years ago
Alternatives and similar repositories for VariationalRecurrentNeuralNetwork
Users that are interested in VariationalRecurrentNeuralNetwork are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Mixture Density Networks for PyTorch☆221Updated 6 months ago
- Variational Auto-Encoders in a Sequential Setting.☆175Updated 7 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆299Updated 8 years ago
- Kalman Variational Auto-Encoder☆136Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆210Updated 5 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆162Updated 2 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆236Updated 6 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Pytorch implementation of Neural Processes for functions and images☆232Updated 3 years ago
- Mixture density network implemented in PyTorch.☆148Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆95Updated 4 months ago
- ☆109Updated 8 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆350Updated 2 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆230Updated 7 years ago
- A Recurrent Latent Variable Model for Sequential Data☆27Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆351Updated 8 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆371Updated 5 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated last year
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆276Updated 7 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆305Updated 7 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 5 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 6 years ago
- Bayesian Neural Network in PyTorch☆91Updated last year
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago