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:
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 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
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 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
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Infinite-horizon Gaussian processes☆33Updated 4 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- ☆46Updated 2 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated last year
- Scalable Gaussian Process Regression with Derivatives☆37Updated 6 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- MATLAB implementation of my Bayesian Optimization algorithms☆12Updated 7 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆77Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆13Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago