Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021
☆25Dec 19, 2022Updated 3 years ago
Alternatives and similar repositories for TGP.pytorch
Users that are interested in TGP.pytorch are comparing it to the libraries listed below
Sorting:
- 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
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- ☆20May 5, 2022Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Fully nonstationary, heteroscedastic GP for Matlab☆16Jul 25, 2024Updated last year
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Jul 19, 2020Updated 5 years ago
- This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al…☆11Nov 10, 2020Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆128Oct 16, 2024Updated last year
- Variational Fourier Features☆87Jun 16, 2021Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Nov 5, 2020Updated 5 years ago
- Here, we present demos to analyze probabilistic power flow problems☆11Mar 2, 2018Updated 8 years ago
- A minimal working example of Free-Form Jacobian of Reversible Dynamics☆15Dec 24, 2019Updated 6 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Sep 26, 2023Updated 2 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Aug 24, 2025Updated 6 months ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- ☆15Jul 6, 2023Updated 2 years ago
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- Normalizing Flows with a resampled base distribution☆48Sep 7, 2022Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆12May 25, 2023Updated 2 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆34Sep 27, 2023Updated 2 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆20Apr 22, 2022Updated 3 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Mar 31, 2021Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆27Mar 31, 2025Updated 11 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- Collection of code and data related to the CHAMPS kaggle competition☆11Apr 6, 2022Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆63Updated this week
- Codes for Hilbert space reduced-rank GP regression☆16Jul 30, 2019Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated 9 months ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆26Jun 11, 2020Updated 5 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"☆45Nov 6, 2023Updated 2 years ago
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago