bertini36 / GMM
Variational Inference in Gaussian Mixture Model
☆59Updated 4 years ago
Alternatives and similar repositories for GMM:
Users that are interested in GMM are comparing it to the libraries listed below
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- ☆28Updated 6 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆120Updated 5 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Python implementation of the PR-SSM.☆51Updated 6 years ago
- Continual Gaussian Processes☆32Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 6 months ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆53Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆22Updated 3 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- ☆40Updated 5 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago