SheffieldML / hgplvmLinks
Hierarchical Gaussian process latent variable model.
☆18Updated 4 years ago
Alternatives and similar repositories for hgplvm
Users that are interested in hgplvm are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- ☆40Updated 6 years ago
- Python implementation of the PR-SSM.☆55Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- ☆69Updated 7 years ago
- Optimization using Stochastic quasi-Newton methods☆43Updated 8 years ago
- Bayesian optimization☆38Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Updated 7 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Faster GP-LVM software in MATLAB.☆32Updated 4 years ago
- Bayesian GPLVM in MATLAB and R☆75Updated 8 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Reference implementation of Optimistic Expected Improvement.☆50Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Predictive State Recurrent Neural Networks☆18Updated 5 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Python library for Recurrent Gaussian Processes☆20Updated 7 years ago