Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
☆23Sep 26, 2023Updated 3 years ago
Alternatives and similar repositories for Generalised-Gaussian-Processes
Users that are interested in Generalised-Gaussian-Processes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Jun 5, 2015Updated 11 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆30Nov 30, 2018Updated 7 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆76Nov 13, 2020Updated 5 years ago
- Multi-class Gaussian Process Classification with Noisy Inputs☆11Mar 24, 2023Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Sampling with Blackjax on Aesara☆11Mar 10, 2023Updated 3 years ago
- ☆10Jul 25, 2022Updated 4 years ago
- ☆11Dec 15, 2022Updated 3 years ago
- A conditional generative model for signal peptide design and efficiency prediction☆12Mar 18, 2024Updated 2 years ago
- Linear Operators in JAX.☆12May 11, 2023Updated 3 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated 2 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- Multi-Output Gaussian Process Toolkit☆190Jul 27, 2026Updated 3 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Actually Sparse Variational Gaussian Processes implemented in GPlow☆11Aug 9, 2023Updated 3 years ago
- Implementation of stochastic variational inference for differentially deep gaussian processes☆15Nov 5, 2018Updated 7 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆38Jun 16, 2022Updated 4 years ago
- ☆25Sep 10, 2023Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 2023Updated 3 years ago
- Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space☆14Jun 20, 2023Updated 3 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆26Sep 15, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- ☆12Apr 20, 2023Updated 3 years ago
- Online variational GPs☆38Jun 1, 2023Updated 3 years ago
- A Python implementation of a sum-product network with gaussian processes leafs model (SPNGP, arXiv:1809.04400)☆19Jun 29, 2023Updated 3 years ago
- Tensorflow implementation of SoftTriple Loss: Deep Metric Learning Without Triplet Sampling☆10Sep 26, 2019Updated 7 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆131Sep 30, 2026Updated 3 weeks ago
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆49Nov 11, 2021Updated 4 years ago
- DESI spectral visualization tools☆14Sep 25, 2026Updated last month
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Nov 6, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 5 years ago
- Nonparametric Differential Equation Modeling☆56Mar 5, 2024Updated 2 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆14Apr 25, 2023Updated 3 years ago
- Learning with operator-valued kernels☆22Jan 31, 2023Updated 3 years ago
- BiBBDM: Bidirectional Image Translation with Brownian Bridge Diffusion Models☆15Aug 4, 2025Updated last year
- ☆28Oct 26, 2022Updated 4 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago