Alternatives and similar repositories for UQGAN

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

• lisa-wm / entropybaseduq
  ☆11Updated 8 months ago
• sndnyang / JEMPP
  PyTorch implementation of JEM++: Improved Techniques for Training JEM
  ☆13Updated 2 years ago
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆145Updated 2 years ago
• maohaos2 / PosthocUQ
  ☆17Updated last year
• aangelopoulos / im2im-uq
  Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…
  ☆59Updated 2 years ago
• MJ10 / DEUP
  Code for experiments to learn uncertainty
  ☆30Updated 2 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• RylanSchaeffer / HarvardAM207-prior-networks
  Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks
  ☆12Updated 6 years ago
• JakobCode / UncertaintyInNeuralNetworks_Resources
  ☆109Updated 4 years ago
• marketdesignresearch / NOMU
  NOMU: Neural Optimization-based Model Uncertainty
  ☆10Updated 2 years ago
• guillaumejs2403 / DiME
  Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations
  ☆29Updated 9 months ago
• ComputationalRadiationPhysics / InFlow
  ☆11Updated 4 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated 2 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• needylove / OrdinalEntropy
  The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023
  ☆54Updated 2 years ago
• cvlab-epfl / iter_unc
  Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)
  ☆18Updated last year
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆35Updated last year
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆16Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 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
  ☆46Updated 3 years ago
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆26Updated 2 years ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆26Updated 2 years ago
• y0ast / DUE
  Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".
  ☆114Updated 3 years ago
• valentyn1boreiko / DVCEs
  ☆44Updated last year
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆14Updated last year
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆43Updated 2 years ago
• ajiljalal / code-cs-fairness
  ☆19Updated 2 years ago
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆19Updated 10 months ago
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆14Updated last year
• giannifranchi / LP_BNN
  This repository contains an official implementation of LPBNN.
  ☆38Updated 2 years ago