Alternatives and similar repositories for BayesDLL:

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

• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆64Updated 3 weeks ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated 11 months ago
• 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…
  ☆52Updated last year
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• hsouri / BayesianTransferLearning
  ☆109Updated 2 years ago
• TyXe-BDL / TyXe
  ☆152Updated 2 years ago
• ENSTA-U2IS-AI / torch-uncertainty
  Open-source framework for uncertainty and deep learning models in PyTorch
  ☆384Updated this week
• bmucsanyi / untangle
  Large-scale uncertainty benchmark in deep learning.
  ☆56Updated 3 months ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆112Updated 2 years ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆354Updated 3 weeks ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆64Updated 3 months ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆215Updated 6 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆503Updated 2 weeks ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆43Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆177Updated 2 years ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆126Updated last year
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆37Updated 2 weeks ago
• TorchDR / TorchDR
  TorchDR - PyTorch Dimensionality Reduction
  ☆108Updated last week
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆213Updated 2 weeks ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆139Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆123Updated last year
• apple / ml-calibration
  relplot: Utilities for measuring calibration and plotting reliability diagrams
  ☆141Updated 10 months ago
• lightning-uq-box / lightning-uq-box
  Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
  ☆176Updated this week
• mkirchhof / url
  Uncertainty-aware representation learning (URL) benchmark
  ☆102Updated last month
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆81Updated 2 weeks ago
• bmucsanyi / bud
  ☆17Updated 8 months ago