emited / VariationalRecurrentNeuralNetwork
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
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆105Updated 6 years ago
- Variational Auto-Encoders in a Sequential Setting.☆172Updated 6 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆298Updated 8 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Pytorch implementation of Neural Processes for functions and images☆228Updated 3 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆348Updated 2 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆157Updated 2 years ago
- This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures☆208Updated 4 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- A Recurrent Latent Variable Model for Sequential Data☆24Updated 6 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆227Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Mixture Density Networks for PyTorch☆219Updated last month
- ☆291Updated 7 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆231Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆333Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- Mixture density network implemented in PyTorch.☆138Updated last year
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆297Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆269Updated 6 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- PyTorch implementation of Neural Processes☆88Updated 6 years ago
- A Point Process Toolbox Based on PyTorch☆130Updated 4 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆208Updated 2 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago