Code for efficiently sampling functions from GP(flow) posteriors
☆76Nov 13, 2020Updated 5 years ago
Alternatives and similar repositories for GPflowSampling
Users that are interested in GPflowSampling are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 6 years ago
- Skew Gaussian Processes by Alessio Benavoli, Dario Azzimonti and Dario Piga☆16Aug 5, 2025Updated last year
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆23Sep 26, 2023Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- TSRoots: A Python package for efficient Gaussian process Thompson sampling in Bayesian optimization via rootfinding.☆10Mar 11, 2025Updated last year
- Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation☆10May 20, 2021Updated 5 years ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆35Feb 10, 2026Updated 7 months ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆130Sep 30, 2026Updated last week
- Learning with operator-valued kernels☆22Jan 31, 2023Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- ☆40Apr 29, 2019Updated 7 years ago
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Nov 6, 2023Updated 2 years ago
- Code for "Maximizing Acquisition Functions for Bayesian Optimization"☆13Nov 27, 2018Updated 7 years ago
- A Bayesian optimization toolbox built on TensorFlow☆254Oct 2, 2026Updated last week
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Dec 20, 2023Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Golem: an algorithm for robust experiment and process optimization☆18Mar 8, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆10Nov 10, 2020Updated 5 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
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆82Feb 22, 2022Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆26Dec 30, 2021Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- A generic interface for linear algebra backends☆80Mar 13, 2026Updated 6 months ago
- Codes for Hilbert space reduced-rank GP regression☆15Jul 30, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- 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
- Geometric kernels on manifolds, meshes and graphs☆592Sep 16, 2026Updated 3 weeks ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆36Feb 3, 2023Updated 3 years ago
- Differentiable Gaussian Process implementation for PyTorch☆22Jul 8, 2018Updated 8 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- Code for the AAAI 2012 Manifold Warping paper: http://people.cs.umass.edu/~ccarey/pubs/ManifoldWarping.pdf☆20Mar 9, 2018Updated 8 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated 2 years ago