MediaBrain-SJTU / Geometric-Harmonization

Related projects ⓘ

Alternatives and complementary repositories for Geometric-Harmonization

• qym7 / CBDM-pytorch
  Official implementation for 'Class-Balancing Diffusion Models'
  ☆46Updated 6 months ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆38Updated last year
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆93Updated 2 years ago
• zhangmarvin / memo
  ☆59Updated last year
• 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…
  ☆9Updated 3 years ago
• changwxx / UniOT-for-UniDA
  Source code for the NeurIPS 2022 Spotlight paper: "Unified Optimal Transport Framework for Universal Domain Adaptation"
  ☆57Updated last year
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆106Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆51Updated 2 months ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆163Updated last year
• tmllab / 2023_ICLR_Moderate-DS
  ☆26Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆59Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆30Updated 3 years ago
• Albert0147 / AaD_SFDA
  Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'
  ☆65Updated 2 months ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆71Updated 11 months ago
• MediaBrain-SJTU / RECORDS-LTPLL
  [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"
  ☆55Updated last year
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• QizhouWang / DOE
  ☆25Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆24Updated last month
• changwxx / CSOT-for-LNL
  Source code for the NeurIPS 2023 paper: "CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels"
  ☆18Updated 11 months ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆42Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆80Updated 7 months ago
• shogi880 / DPLCLIP
  ☆47Updated last year
• oripress / CCC
  Code for Continuously Changing Corruptions (CCC) benchmark + evaluation
  ☆29Updated 3 months ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆66Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆39Updated last year
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆43Updated last year
• SCUT-AILab / CPGA
  ☆44Updated last year
• jkatzsam / woods_ood
  ☆16Updated 2 years ago
• deeplearning-wisc / poem
  PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022
  ☆28Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆41Updated last year