Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
☆200Apr 28, 2022Updated 4 years ago
Alternatives and similar repositories for phdthesis
Users that are interested in phdthesis 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 5 years ago
- NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynami…☆14Sep 11, 2025Updated 11 months ago
- Repository containing the code for Implicit Manifold Gaussian Process.☆16Aug 8, 2024Updated 2 years ago
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated last year
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Reinforcement learning library in JAX.☆102Oct 22, 2023Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆35Feb 10, 2026Updated 6 months ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- Variational Walkback, NIPS'17☆28Oct 18, 2017Updated 8 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- A generic interface for linear algebra backends☆79Mar 13, 2026Updated 5 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 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.
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- A Bayesian optimization toolbox built on TensorFlow☆251Jun 17, 2026Updated 2 months ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆16Sep 21, 2021Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 years ago
- Tutorial on amortized optimization for learning to optimize over continuous domains☆263Oct 5, 2025Updated 10 months ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆22Nov 16, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Variational Reinforcement Learning☆18Jul 25, 2024Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- Geometric kernels on manifolds, meshes and graphs☆592Mar 10, 2026Updated 5 months ago
- Materials of the Nordic Probabilistic AI School 2021.☆94Jul 12, 2021Updated 5 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Apr 22, 2026Updated 4 months ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 2024Updated 2 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Sep 28, 2022Updated 3 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 2023Updated 3 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 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
- The codebase of normalizing flows for incremental soomthing and mapping (NF-iSAM). The datasets used for performance evaluation are provi…☆29Oct 19, 2022Updated 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