Laplace approximations for Deep Learning.
☆535Apr 22, 2025Updated 10 months ago
Alternatives and similar repositories for Laplace
Users that are interested in Laplace are comparing it to the libraries listed below
Sorting:
- Last-layer Laplace approximation code examples☆83Oct 18, 2021Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆45Jun 6, 2025Updated 9 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Dec 5, 2024Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆606Nov 28, 2025Updated 3 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆467Aug 28, 2024Updated last year
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆221Feb 9, 2026Updated 3 weeks ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Dec 30, 2022Updated 3 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆63Feb 16, 2026Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆378Jan 27, 2026Updated last month
- Algorithms for computations on random manifolds made easier☆94Dec 4, 2023Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,957Oct 20, 2023Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,567Feb 2, 2026Updated last month
- A Library for Uncertainty Quantification.☆921Apr 23, 2025Updated 10 months ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆980Sep 25, 2023Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆478Jul 6, 2023Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,835Mar 2, 2026Updated last week
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated last year
- Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning☆93Oct 28, 2020Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Oct 1, 2023Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Jan 10, 2022Updated 4 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆36Jun 16, 2022Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Jun 2, 2023Updated 2 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Normalizing flows in PyTorch☆993Dec 27, 2024Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,377Mar 1, 2024Updated 2 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Oct 21, 2022Updated 3 years ago
- IVON optimizer for neural networks based on variational learning.☆82Nov 7, 2024Updated last year
- ☆15Sep 11, 2022Updated 3 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- ☆157Sep 15, 2022Updated 3 years ago
- ☆252Dec 27, 2022Updated 3 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆122Updated this week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,977Mar 5, 2025Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Oct 7, 2025Updated 5 months ago