Multi-Output Gaussian Process Toolkit
☆188Jun 4, 2025Updated 9 months ago
Alternatives and similar repositories for mogptk
Users that are interested in mogptk are comparing it to the libraries listed below
Sorting:
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- workshops☆12Feb 19, 2023Updated 3 years ago
- Continual Gaussian Processes☆31Jul 6, 2023Updated 2 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Dec 22, 2023Updated 2 years ago
- ☆10Jul 25, 2022Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 4 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Dec 3, 2025Updated 3 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Recyclable Gaussian Processes☆11Dec 8, 2022Updated 3 years ago
- Gaussian processes in JAX and Flax.☆599Updated this week
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- A generic interface for linear algebra backends☆76Feb 21, 2026Updated 2 weeks ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆58Apr 18, 2023Updated 2 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- Gaussian process modelling in Python☆226Dec 15, 2024Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 2 years ago
- Gaussian processes framework in python☆2,143Jun 19, 2025Updated 8 months ago
- Online variational GPs☆38Jun 1, 2023Updated 2 years ago
- Gaussian Process Model Building Interface☆52Mar 11, 2025Updated 11 months ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆48Nov 11, 2021Updated 4 years ago
- ☆18Apr 2, 2023Updated 2 years ago
- Gaussian processes in TensorFlow☆1,902May 29, 2025Updated 9 months ago
- Material del curso de Deep Learning de la Universidad de Chile☆213Dec 27, 2023Updated 2 years ago
- sss - Sparse State-Space and System Analysis Toolbox☆12Aug 17, 2024Updated last year
- Code repo for "Function-Space Distributions over Kernels"☆32Jan 21, 2021Updated 5 years ago
- stochastic recursive Gaussian Process (SRGP)☆20Nov 27, 2020Updated 5 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Nov 21, 2015Updated 10 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆39Dec 19, 2022Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Nov 13, 2020Updated 5 years ago
- Multi-group Gaussian process (MGGP)☆23Jul 24, 2024Updated last year
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,838Updated this week
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Code repo for "Kernel Interpolation for Scalable Online Gaussian Processes"☆66Mar 5, 2021Updated 5 years ago
- A simple multicohort LTV calculator for subscriptions☆11Mar 7, 2023Updated 3 years ago
- ☆11Feb 8, 2023Updated 3 years ago
- Self-Tuning Optimized Kalman Filtering (STOK) + DyNet simulation + connectivity metrics☆13May 10, 2021Updated 4 years ago