Alternatives and similar repositories for detectors

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

• PolinaKirichenko / deep_feature_reweighting
  ☆108Updated last year
• skezle / sava
  Scalable data valuation using optimal transport (ICLR 2025)
  ☆13Updated last month
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆42Updated 2 years ago
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆16Updated 2 years ago
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆37Updated last year
• j-cb / NINCO
  Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"
  ☆24Updated 2 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆108Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• valentyn1boreiko / DVCEs
  ☆39Updated last year
• jfc43 / informative-outlier-mining
  We propose a theoretically motivated method, Adversarial Training with informative Outlier Mining (ATOM), which improves the robustness o…
  ☆57Updated 3 years ago
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• deeplearning-wisc / Spurious_OOD
  ☆23Updated 3 years ago
• ethz-spylab / diffusion_denoised_smoothing
  Certified robustness "for free" using off-the-shelf diffusion models and classifiers
  ☆43Updated 2 years ago
• tanimutomo / cifar10-c-eval
  Testing a model performance for CIFAR10-C
  ☆35Updated 5 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆46Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆22Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆28Updated last year
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆83Updated 4 years ago
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆143Updated 2 years ago
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆28Updated 2 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆51Updated last year
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆33Updated 10 months ago
• AKuzina / defend_vae_mcmc
  Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…
  ☆10Updated 2 years ago
• mueller-mp / SAM-ON
  ☆34Updated last year
• KaosEngineer / PriorNetworks
  ☆66Updated 5 years ago