erichanslee / GP_Derivatives
Scalable Gaussian Process Regression with Derivatives
☆37Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for GP_Derivatives
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- ☆27Updated 2 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- ☆14Updated 6 years ago
- Codes for Hilbert space reduced-rank GP regression☆12Updated 5 years ago
- Nonparametric Differential Equation Modeling☆51Updated 8 months ago
- stochastic recursive Gaussian Process (SRGP)☆19Updated 3 years ago
- Online variational GPs☆30Updated last year
- Sparse Spectrum Gaussian Process Regression☆21Updated 4 years ago
- Taylor moment expansion in Python (JaX and SymPy) and Matlab☆12Updated this week
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆45Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆55Updated 3 years ago
- Infinite-horizon Gaussian processes☆31Updated 4 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆33Updated 2 years ago
- ☆15Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆17Updated 3 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 5 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆26Updated 3 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆68Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 6 years ago
- APPM 5630 at CU Boulder☆42Updated 9 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 4 years ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆64Updated 8 months ago
- Modular Gaussian Processes☆15Updated 2 years ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆25Updated 3 months ago
- An up-to-date version of GPML library.☆32Updated 5 years ago
- Continual Gaussian Processes☆31Updated last year