Alternatives and similar repositories for FOA

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

• gaozhengqing / UniEnt
  PyTorch implementation of our CVPR 2024 paper "Unified Entropy Optimization for Open-Set Test-Time Adaptation"
  ☆26Updated 9 months ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆125Updated 2 years ago
• zhangmarvin / memo
  ☆65Updated last year
• liangyanshuo / InfLoRA
  The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning
  ☆81Updated 3 months ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆86Updated 7 months ago
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆189Updated last year
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆39Updated 4 months ago
• LINs-lab / ttab
  [ICML23] On Pitfalls of Test-Time Adaptation
  ☆119Updated last year
• LAMDA-CL / RevisitingCIL
  Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)
  ☆143Updated 10 months ago
• daeunni / BECoTTA
  Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".
  ☆42Updated last year
• weilllllls / OnPro
  Online Prototype Learning for Online Continual Learning (ICCV 2023)
  ☆37Updated last year
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆98Updated 11 months ago
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆38Updated 7 months ago
• yonseivnl / earl
  ☆16Updated 9 months ago
• elaine-sui / TPS
  ☆18Updated 8 months ago
• JingyangQiao / prompt-gradient-projection
  ☆28Updated 9 months ago
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆99Updated 3 years ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆50Updated 4 months ago
• xiaocangshengGR / DDGR
  Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.
  ☆37Updated last year
• zugexiaodui / VPTinNSforCL
  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
  ☆16Updated 8 months ago
• Yangsenqiao / vida
  [ICLR 2024] ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
  ☆66Updated last year
• mengcaopku / Continual-LLaVA
  ☆16Updated 7 months ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆81Updated last year
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆141Updated 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
• LzVv123456 / Contrastive-Prototypical-Prompt
  ☆21Updated 3 months ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆51Updated 4 months ago
• GengDavid / SLCA
  SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …
  ☆49Updated 10 months ago
• SUSI-Lab / Awesome-Continual-Test-Time-Adaptation
  ☆32Updated 8 months ago