Laplace Redux -- Effortless Bayesian Deep Learning
☆46Jun 6, 2025Updated last year
Alternatives and similar repositories for laplace-redux
Users that are interested in laplace-redux are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Laplace approximations for Deep Learning.☆549Apr 22, 2025Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.☆26Jul 21, 2023Updated 3 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆11Oct 21, 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.
- ☆10Jul 21, 2021Updated 5 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆192Dec 5, 2024Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Nov 16, 2022Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆26Dec 19, 2022Updated 3 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 10 months ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 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.
- This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.☆31May 15, 2024Updated 2 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆22Jul 20, 2024Updated 2 years ago
- Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"☆13Dec 24, 2023Updated 2 years ago
- Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.☆21May 26, 2021Updated 5 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 4 years ago
- Limitations of the Empirical Fisher Approximation☆48Mar 3, 2025Updated last year
- A demo of Bayesian neural networks, using SVI and HMC.☆13Sep 12, 2019Updated 6 years ago
- Finds snippets in iambic pentameter in English-language text and tries to combine them to a rhyming sonnet.☆13Jan 5, 2023Updated 3 years ago
- Code that accompanies the paper Guided Deep Kernel Learning☆10Jul 2, 2023Updated 3 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.
- An implementation of the Equivariant Graph Neural Network (EGNN) layer type for DGL-PyTorch.☆15Dec 27, 2022Updated 3 years ago
- Bayesian Low-Rank Adaptation for Large Language Models☆41Jun 22, 2024Updated 2 years ago
- FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks☆14Mar 12, 2023Updated 3 years ago
- ☆113Sep 23, 2022Updated 3 years ago
- Integrals of Gaussians under linear domain constraints☆15Feb 27, 2020Updated 6 years ago
- Code repository is for "Federated Composite Optimization", to appear in ICML 2021☆12May 6, 2022Updated 4 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆69Jul 17, 2026Updated last week
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Jul 19, 2023Updated 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.
- [IPSN 2024] Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing☆14May 16, 2024Updated 2 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆86Apr 5, 2023Updated 3 years ago
- Implementation of FedDR algorithm for federated learning.☆10Mar 8, 2022Updated 4 years ago
- This repository contains the code for the paper "Can Transformers Learn Full Bayesian Inference In Context?"☆16Apr 6, 2025Updated last year
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆16Oct 21, 2020Updated 5 years ago
- This repository collects supplementary material to study reinforcement learning with a focus on topics covered by the TU Darmstadt IAS le…☆12Feb 11, 2019Updated 7 years ago
- Differentiable Tree Machine☆14Nov 3, 2023Updated 2 years ago