simonkamronn / kvaeLinks
Kalman Variational Auto-Encoder
☆136Updated 6 years ago
Alternatives and similar repositories for kvae
Users that are interested in kvae are comparing it to the libraries listed below
Sorting:
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Structured Inference Networks for Nonlinear State Space Models☆272Updated 7 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆285Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 4 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Gaussian processes with PyTorch☆30Updated 3 years ago
- ☆46Updated 2 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Deep neural network kernel for Gaussian process☆207Updated 4 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 10 months ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- ☆180Updated 5 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago