All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
☆19Apr 22, 2022Updated 4 years ago
Alternatives and similar repositories for you-need-a-good-prior
Users that are interested in you-need-a-good-prior are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆18Jul 25, 2024Updated 2 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Jul 10, 2024Updated 2 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.
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆17Sep 26, 2022Updated 4 years ago
- Optimizers for performing approximate Bayesian inference on neural network parameters with Tensorflow and JAX☆13Feb 17, 2024Updated 2 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆27Sep 17, 2014Updated 12 years ago
- Iterative State Estimation in Non-linear Dynamical Systems Using Approximate Expectation Propagation☆15Jun 30, 2022Updated 4 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated 2 years ago
- ☆11Oct 15, 2025Updated last year
- Limitations of the Empirical Fisher Approximation☆50Mar 3, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆70Mar 11, 2024Updated 2 years ago
- Step by step code for applying synthetic control to interesting use cases☆11Jul 23, 2020Updated 6 years ago
- A python package for semi-structured deep distributional regression☆23Dec 9, 2022Updated 3 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Code for Gaussian Score Matching Variational Inference☆34Feb 23, 2025Updated last year
- Minimal (unofficial) implementation of the flow map matching method.☆16Jul 9, 2025Updated last year
- ☆15Aug 24, 2025Updated last year
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years 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.
- ☆26Oct 3, 2023Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆82Oct 7, 2025Updated last year
- The PyGpPhs package is designed for utilizing Gaussian Process for port-Hamiltonian system.☆11May 6, 2024Updated 2 years ago
- PyTorch implementation of planar flows☆32Apr 8, 2021Updated 5 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 years ago
- ☆11Oct 6, 2021Updated 5 years ago
- ☆44Jun 18, 2023Updated 3 years ago
- A Bayesian uncertainty quantification toolbox for discrete and continuum models of granular materials. Note that this repository contains…☆12Sep 20, 2023Updated 3 years ago
- ☆159Sep 15, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Actually Sparse Variational Gaussian Processes implemented in GPlow☆11Aug 9, 2023Updated 3 years ago
- Implementation of methods to sample from Boltzmann distributions☆22Jan 24, 2023Updated 3 years ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Jun 5, 2024Updated 2 years ago
- Repository for tutorial on Neural ODEs prepared for the UCL AI Society☆13Mar 7, 2021Updated 5 years ago
- Neat Bayesian machine learning examples☆58Feb 10, 2026Updated 8 months ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 4 years ago
- Sparse Neural Network Tools☆12Jul 15, 2024Updated 2 years ago