shreyas253 / variational_NP_BMMLinks
The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i-vector data" and "Comparison of Non-parametric Bayesian Mixture Models for Zero-Resource Speech Processing", submitted.
☆10Updated 8 years ago
Alternatives and similar repositories for variational_NP_BMM
Users that are interested in variational_NP_BMM are comparing it to the libraries listed below
Sorting:
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Updated 10 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 9 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆46Updated 3 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- ☆29Updated 6 years ago
- Variational Gaussian Process State-Space Models☆25Updated 9 years ago
- Gaussian Process Prior Variational Autoencoder☆86Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆24Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆35Updated 11 years ago
- Python library for Recurrent Gaussian Processes☆20Updated 8 years ago
- Python implementation of the PR-SSM.☆56Updated 7 years ago
- Implementation of Deep Variational Bayes Filter☆12Updated 6 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆141Updated 8 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆48Updated 6 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Deep convolutional gaussian processes.☆81Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 7 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Updated 11 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- ☆11Updated 9 years ago