anfelopera / lineqGPR
Gaussian processes regression models with linear inequality constraints
☆14Updated 6 months ago
Alternatives and similar repositories for lineqGPR:
Users that are interested in lineqGPR are comparing it to the libraries listed below
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆40Updated 5 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- The code in this repository follows the paper "Stochastic gradient MCMC"☆25Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆21Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 5 years ago
- Deep multistep methods to solve BSDEs of first and second order for the approximation of PDE solutions☆16Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆29Updated 6 months ago
- Continual Gaussian Processes☆32Updated last year
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 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
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated last month
- Variational Gaussian Process State-Space Models☆23Updated 9 years ago
- Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…☆21Updated 6 years ago
- ☆13Updated last year
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 11 months ago
- Nonparametric Differential Equation Modeling☆53Updated 10 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- Python code for SGMCMC for Time Series SSMs☆12Updated 3 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- Methods and experiments for assumed density SDE approximations☆11Updated 2 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.☆15Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Adaptive MCMC and CMA-ES Python code☆15Updated 5 years ago