anfelopera / lineqGPRLinks
Gaussian processes regression models with linear inequality constraints
☆14Updated 10 months ago
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
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 10 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 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 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Python code for SGMCMC for Time Series SSMs☆12Updated 4 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Continual Gaussian Processes☆32Updated last year
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆11Updated 6 months ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Finding the conditional distributions of a Gaussian Mixture Model☆12Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆11Updated 2 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- ☆15Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- ☆14Updated last year
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- (Python, R, C) Fast approximations for the CDF of multivariate normal distributions☆23Updated 3 weeks ago
- State-space deep Gaussian processes in Python and Matlab☆30Updated 2 years ago
- Regression Monte Carlo for Optimal Stopping☆9Updated 2 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- Covariance prediction via convex optimization☆21Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year