GAMES-UChile / BayesianSpectralEstimationLinks
Bayesian nonparametric spectral estimation
☆14Updated 3 years ago
Alternatives and similar repositories for BayesianSpectralEstimation
Users that are interested in BayesianSpectralEstimation are comparing it to the libraries listed below
Sorting:
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆56Updated 7 years ago
- Infinite-horizon Gaussian processes☆33Updated 5 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Updated 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
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- ☆47Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Particle filtering and sequential parameter inference in Python☆83Updated 2 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Updated 4 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 7 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 9 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Recyclable Gaussian Processes☆11Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Updated 4 years ago
- A simple and general framework for signal decomposition☆73Updated last year
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆45Updated last week
- Python implementation of the PR-SSM.☆57Updated 7 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- ☆16Updated 7 years ago