GAMES-UChile / mogptkLinks
Multi-Output Gaussian Process Toolkit
☆183Updated 8 months ago
Alternatives and similar repositories for mogptk
Users that are interested in mogptk are comparing it to the libraries listed below
Sorting:
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Updated last year
- Heterogeneous Multi-output Gaussian Processes☆54Updated 5 years ago
- ☆156Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Gaussian process modelling in Python☆226Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆45Updated last year
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Regression datasets from the UCI repository with standardized test-train splits.☆52Updated 3 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Updated 4 years ago
- Sequential Monte Carlo in python☆479Updated 3 months ago
- A Bayesian optimization toolbox built on TensorFlow☆247Updated 3 weeks ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆61Updated last year
- Python model for constrained GP☆26Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆71Updated last year
- Introduction to Uncertainty Quantification☆258Updated 3 years ago
- UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical s…☆343Updated 2 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆464Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Collection of resources from each meetup event☆13Updated 5 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Updated 6 years ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Updated 3 years ago
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆67Updated last year