Alternatives and similar repositories for dbu-robustness

Users that are interested in dbu-robustness are comparing it to the libraries listed below

• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆25Updated last year
• atilberk / evidential-deep-learning-to-quantify-classification-uncertainty
  Work on Evidential Deep Learning to Quantify Classification Uncertainty
  ☆60Updated 7 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆43Updated 5 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• bat-sheva / Conformal-Learning
  ☆25Updated 3 years ago
• grasp-lyrl / modelzoo_continual
  Model Zoos for Continual Learning (ICLR 22)
  ☆45Updated 2 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• sharpenb / Posterior-Network
  Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
  ☆78Updated 3 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated 2 years ago
• KaosEngineer / PriorNetworks
  ☆68Updated 6 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆73Updated 5 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 4 years ago
• thudzj / ScalableBDL
  Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
  ☆32Updated last year
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆33Updated 2 years ago
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆89Updated 3 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆58Updated 7 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 3 years ago
• ebennequin / meta-domain-shift
  Experiments on meta-learning algorithms to solve few-shot domain adaptation
  ☆10Updated 4 years ago
• phquang / Contextual-Transformation-Network
  ☆22Updated 2 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆28Updated 4 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• geifmany / uncertainty_ICLR
  Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019
  ☆14Updated 6 years ago
• cvai-roig-lab / duality-diagram-similarity
  Efficient solution to the initialization selection of DNNs in transfer learning using duality diagrams as a similarity measure framework.
  ☆10Updated 5 years ago