yiyuezhuo / Deep-Latent-Gaussian-Models
PyTorch implementation for Deep Latent Gaussian Models(DLGM) https://arxiv.org/abs/1401.4082
☆9Updated 5 years ago
Alternatives and similar repositories for Deep-Latent-Gaussian-Models:
Users that are interested in Deep-Latent-Gaussian-Models are comparing it to the libraries listed below
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 5 years ago
- ☆28Updated 6 years ago
- This is all the codes used in "Large Scale Online Kernel Learning"☆11Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated 9 months ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- Continual Gaussian Processes☆32Updated last year
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- State space modeling with recurrent neural networks☆44Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 5 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Updated 7 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆37Updated last year
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- ☆40Updated 5 years ago