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
- Repository containing the code for Implicit Manifold Gaussian Process.☆16Aug 8, 2024Updated last year
- Gaussian processes with spherical harmonic features in JAX☆16Aug 24, 2025Updated 9 months ago
- ☆14Jun 7, 2023Updated 3 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- Geometric kernels on manifolds, meshes and graphs☆587Mar 10, 2026Updated 3 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
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆34Feb 10, 2026Updated 4 months ago
- A generic interface for linear algebra backends☆79Mar 13, 2026Updated 3 months ago
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- A Bayesian optimization toolbox built on TensorFlow☆250Updated this week
- 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
- Tutorial on amortized optimization for learning to optimize over continuous domains☆256Oct 5, 2025Updated 8 months ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Nov 16, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Materials of the Nordic Probabilistic AI School 2021.☆94Jul 12, 2021Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆31Apr 22, 2026Updated last month
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Feb 9, 2024Updated 2 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 years ago
- A C++ implementation (with Python bindings) of the Persistence Filter.☆19Jul 19, 2022Updated 3 years ago
- Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".☆31Feb 3, 2025Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆129Oct 16, 2024Updated 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.
- ☆24May 18, 2025Updated last year
- Pytorch code for Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC☆11Mar 1, 2021Updated 5 years ago
- Off the convex path☆68Feb 17, 2023Updated 3 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆27Dec 10, 2022Updated 3 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Mar 6, 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.☆242Dec 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…☆28Oct 19, 2022Updated 3 years ago