Alternatives and similar repositories for OTDD

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

• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 5 years ago
• microsoft / Domain-Adaptation-with-Conditional-Distribution-Matching-and-Generalized-Label-Shift
  Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
  ☆39Updated 5 years ago
• FengHZ / SHOT-VAE
  The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
  ☆34Updated 3 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆123Updated 4 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆89Updated 3 years ago
• m-Just / OoD-Bench
  ☆44Updated last month
• hehaodele / CIDA
  [ICML 2020] Continuously Indexed Domain Adaptation
  ☆119Updated 3 years ago
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆47Updated 3 years ago
• tayden / ood-metrics
  Metrics for out-of-distribution (OOD) detection performance evaluation
  ☆50Updated 11 months ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated 2 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆24Updated 3 years ago
• mfederici / Multi-View-Information-Bottleneck
  Implementation of Multi-View Information Bottleneck
  ☆136Updated 5 years ago
• snap-stanford / comet
  [ICLR 2021] Concept Learners for Few-Shot Learning
  ☆115Updated 2 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 4 years ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• AMLab-Amsterdam / DIVA
  Implementation of 'DIVA: Domain Invariant Variational Autoencoders'
  ☆105Updated 6 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 5 years ago
• eddardd / WBTransport
  (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport
  ☆32Updated 3 years ago
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆73Updated 2 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
• ahujak / IB-IRM
  ☆31Updated 4 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆42Updated 2 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• valeoai / ConfidNet
  Addressing Failure Prediction by Learning Model Confidence
  ☆173Updated 3 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆138Updated 4 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 3 years ago