crazysal / VariationalRNN
A Recurrent Latent Variable Model for Sequential Data
☆26Updated 6 years ago
Alternatives and similar repositories for VariationalRNN:
Users that are interested in VariationalRNN are comparing it to the libraries listed below
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- ☆90Updated 2 years ago
- pytorch (>=0.4 version) code of NIPS 2015 paper 'A Recurrent Latent Variable Model for Sequential Data'☆13Updated 5 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Updated 7 years ago
- ☆38Updated 6 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 8 months ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆99Updated 5 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆60Updated 4 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 5 years ago
- A short course on temporal point process and modeling irregular time series☆21Updated 4 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆38Updated last year
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆48Updated 3 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆43Updated 7 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆285Updated 3 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆44Updated 4 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- ☆18Updated 7 years ago
- ☆11Updated 7 years ago
- Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)☆84Updated 4 years ago
- Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)☆58Updated 3 months ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago