OxfordML / GPz
GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data
☆46Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for GPz
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- Stochastic variational heteroscedastic Gaussian process☆14Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Scalable Gaussian Process Regression with Derivatives☆38Updated 5 years ago
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆48Updated 9 years ago
- Continual Gaussian Processes☆31Updated last year
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆26Updated 3 years ago
- Sparse Spectrum Gaussian Process Regression☆21Updated 4 years ago
- An up-to-date version of GPML library.☆32Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆28Updated 4 months ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆69Updated 2 years ago
- State-space deep Gaussian processes in Python and Matlab☆29Updated 2 years ago
- Multi-Output Gaussian Process Toolkit☆165Updated 7 months ago
- Proximal optimization in pure python☆113Updated 2 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆32Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆147Updated 5 years ago
- Provides a heteroscedastic noise latent for a sparse variational Gaussian process using GPflow☆13Updated 4 years ago
- Codes for Hilbert space reduced-rank GP regression☆13Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆66Updated 4 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆178Updated 10 years ago
- Adaptive MCMC and CMA-ES Python code☆15Updated 5 years ago
- Nonparametric Differential Equation Modeling☆51Updated 8 months ago
- Python model for constrained GP☆24Updated 3 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆56Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆120Updated last month