Alternatives and similar repositories for curvature

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

• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• FrederikWarburg / LaplaceAE
  ☆32Updated 2 years ago
• yliess86 / BayeFormers
  General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…
  ☆43Updated 4 years ago
• cambridge-mlg / DUN
  Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
  ☆76Updated last year
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆75Updated 4 years ago
• nikitadurasov / masksembles
  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
  ☆101Updated 2 weeks ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆41Updated 2 years ago
• tjoo512 / belief-matching-framework
  Belief matching framework official implementation
  ☆40Updated 2 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆77Updated 3 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆45Updated 4 years ago
• pasteurlabs / unreasonable_effective_der
  Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"
  ☆27Updated 2 years ago
• google-deepmind / ssl_hsic
  ☆37Updated 10 months ago
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated last year
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• fregu856 / regression_uncertainty
  Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.
  ☆18Updated last year
• avitase / mder
  Supplementary material to reproduce "Multivariate Deep Evidential Regression"
  ☆20Updated 3 years ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆36Updated 3 years ago
• JanRocketMan / regression-prior-networks
  An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
  ☆36Updated 4 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• ENSTA-U2IS-AI / LDU
  Latent Discriminant deterministic Uncertainty [ECCV2022]
  ☆42Updated 2 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• martius-lab / beta-nll
  beta-NLL introduced in our paper "On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks" ICLR 2022
  ☆44Updated 3 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 4 years ago
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago
• team-approx-bayes / bayesian-sam
  Code for "SAM as an Optimal Relaxation of Bayes", ICLR 2023.
  ☆25Updated last year
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• izmailovpavel / bnn_covariate_shift
  Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"
  ☆33Updated 2 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆82Updated 3 years ago
• bobby-he / bayesian-ntk
  Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
  ☆26Updated 4 years ago