SheffieldML / GPclust
Collapsed Variational Bayes
☆70Updated 5 years ago
Alternatives and similar repositories for GPclust
Users that are interested in GPclust are comparing it to the libraries listed below
Sorting:
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated last year
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Variational Fourier Features☆84Updated 3 years ago
- ☆95Updated 6 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- ☆40Updated 6 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- some tools for gaussian linear dynamical systems☆89Updated 6 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 5 years ago
- Branching Gaussian process☆30Updated 2 years ago
- ☆155Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Updated 5 years ago
- python code for kernel methods☆38Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago