Alternatives and similar repositories for A-Bit-More-Bayesian

Users that are interested in A-Bit-More-Bayesian are comparing it to the libraries listed below

• eddardd / WBTransport
  (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport
  ☆30Updated 2 years ago
• csm9493 / UCL
  The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
  ☆35Updated 4 years ago
• WonderSeven / LSSAE
  The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"
  ☆24Updated last year
• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆46Updated 2 years ago
• LavieLuo / DRMEA
  Pytorch code for “Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment ” (DRMEA) (AAAI 2020).
  ☆32Updated 4 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆72Updated 4 years ago
• Landmine598 / OT-DA
  ☆14Updated 4 years ago
• zhyhan / RDA
  Robust Domain Adaptation under Noisy Environments
  ☆18Updated 3 years ago
• mominabbass / Sharp-MAML
  Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
  ☆32Updated 2 years ago
• zzzx1224 / SingleSampleGeneralization-ICLR2022
  ☆23Updated 3 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆41Updated 2 years ago
• gzqhappy / FGDA
  ☆19Updated 3 years ago
• JuliousHurtado / meta-training-setup
  This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.
  ☆11Updated 3 years ago
• jaehong31 / APD
  "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020
  ☆23Updated 3 years ago
• bjsowa / LLDEN
  Lifelong Learning with Dynamically Expandable Networks
  ☆20Updated 7 years ago
• deep-real / UMGUD
  The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)
  ☆22Updated 3 years ago
• k-gyuhak / CLOM
  ☆16Updated 2 years ago
• dtuzi123 / LifelongVAEGAN
  ☆13Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• twj-KAIST / OOD-MAML
  ☆12Updated 4 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆27Updated 2 years ago
• anshuln / Training-for-the-Future
  Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time…
  ☆10Updated 3 years ago
• AndreevP / FRCL
  Functional Regularisation for Continual Learning with Gaussian Processes
  ☆15Updated 4 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
  ☆38Updated 4 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆41Updated 2 years ago
• sshan-zhao / DG_via_ER
  Domain Generalization via Entropy Regularization, NeurIPS'20
  ☆66Updated 4 years ago
• m-Just / OoD-Bench
  ☆44Updated 4 months ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• phquang / DualNet
  ☆65Updated 3 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 4 years ago