anfelopera / lineqGPRLinks
Gaussian processes regression models with linear inequality constraints
☆15Updated last year
Alternatives and similar repositories for lineqGPR
Users that are interested in lineqGPR are comparing it to the libraries listed below
Sorting:
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Adaptive MCMC and CMA-ES Python code☆14Updated 5 years ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Python package for canonical vine copula trees with mixed continuous and discrete marginals☆47Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Bayesian Dynamic Linear Models for time-series analysis☆27Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 6 months ago
- ☆11Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆48Updated last year
- ☆14Updated 2 years ago
- ☆14Updated 5 years ago
- ☆27Updated last year
- Variational Gaussian Process State-Space Models☆24Updated 9 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- Matlab code for my paper "Copula Variational Bayes inference via information geometry", submitted to IEEE Trans. on information theory, 2…☆54Updated 6 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated 8 months ago