Alternatives and similar repositories for Laplace

Users that are interested in Laplace are comparing it to the libraries listed below

• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆456Updated 11 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆588Updated 7 months ago
• IntelLabs / bayesian-torch
  A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
  ☆614Updated 4 months ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆470Updated 2 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• TyXe-BDL / TyXe
  ☆151Updated 2 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆69Updated 2 months ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆70Updated 9 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆628Updated last week
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆54Updated last year
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆402Updated 2 months ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆943Updated 7 months ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated 2 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated 3 weeks ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆112Updated 3 years ago
• Harry24k / bayesian-neural-network-pytorch
  PyTorch implementation of bayesian neural network [torchbnn]
  ☆538Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆227Updated 10 months ago
• AlaaLab / deep-learning-uncertainty
  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…
  ☆630Updated 3 years ago
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,524Updated 2 months ago
• y0ast / deterministic-uncertainty-quantification
  Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
  ☆272Updated 3 years ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆526Updated last week
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆88Updated 5 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated 4 months ago
• ENSTA-U2IS-AI / torch-uncertainty
  Open-source framework for uncertainty and deep learning models in PyTorch
  ☆421Updated this week
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆34Updated 4 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆190Updated last month
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆369Updated 4 months ago