Alternatives and similar repositories for U-MAE

Users that are interested in U-MAE are comparing it to the libraries listed below

• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• invictus717 / UniDG
  Towards Unified and Effective Domain Generalization
  ☆31Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆63Updated 4 months ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• yossigandelsman / test_time_training_mae
  The official github repo for "Test-Time Training with Masked Autoencoders"
  ☆83Updated last year
• xinliu20 / MEC
  ☆45Updated 2 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• KaiyangZhou / on-device-dg
  On-Device Domain Generalization
  ☆43Updated 2 years ago
• Wang-pengfei / SAGM
  The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
  ☆75Updated 2 years ago
• fiveai / LAME
  This code accompanies the paper "Parameter-free Online Test-time Adaptation".
  ☆72Updated 2 years ago
• mingkai-zheng / ReSSL
  ReSSL: Relational Self-Supervised Learning with Weak Augmentation
  ☆58Updated 3 years ago
• Gorilla-Lab-SCUT / TTAC
  [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
  ☆48Updated last year
• daeunni / BECoTTA
  Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".
  ☆42Updated 11 months ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆78Updated last year
• Hritikbansal / generative-robustness
  Create generated datasets and train robust classifiers
  ☆35Updated last year
• MotasemAlfarra / Online_Test_Time_Adaptation
  Revisiting Test Time Adaptation Under Online Evaluation
  ☆32Updated last year
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆51Updated last year
• yue-zhongqi / diti
  Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning
  ☆28Updated last year
• Jordan-HS / Diversity_is_Definitely_Needed
  [CVPRW 2023] Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion
  ☆23Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• JianhongBai / BaCon
  Official implementation of "Towards Distribution-Agnostic Generalized Category Discovery" (NIPS 2023)
  ☆25Updated last year
• chenshuang-zhang / imagenet_d
  [CVPR 2024 Highlight] ImageNet-D
  ☆43Updated 7 months ago
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆63Updated 2 years ago
• mingukjang / TAST
  Test-time adaptation via Nearest neighbor information (TAST), submitted to ICLR'23
  ☆22Updated last year
• taeckyung / SoTTA
  This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …
  ☆22Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated 2 years ago
• YUE-FAN / CoSSL
  Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…
  ☆53Updated 2 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆40Updated 2 years ago
• CVMI-Lab / SlotCon
  (NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
  ☆97Updated 2 months ago