Alternatives and similar repositories for Local-Superior-Soups:

Users that are interested in Local-Superior-Soups are comparing it to the libraries listed below

• ubc-tea / FedTextGrad
  The official implementation of paper "Can Textual Gradient Work in Federated Learning?" accepted at ICLR 2025
  ☆13Updated last month
• ubc-tea / FedSoup
  The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…
  ☆17Updated last year
• 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
• KevinLight831 / CTP
  [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation
  ☆35Updated 6 months ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆47Updated 2 months ago
• cvlab-columbia / ZSRobust4FoundationModel
  ☆41Updated last year
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆26Updated 6 months ago
• htyao89 / KgCoOp
  ☆93Updated last year
• kaipengfang / ProS
  ☆19Updated 9 months ago
• TomSheng21 / R-TPT
  CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
  ☆10Updated this week
• JingyangQiao / prompt-gradient-projection
  ☆26Updated 7 months ago
• elaine-sui / TPS
  ☆16Updated 6 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆88Updated 9 months ago
• sangminwoo / RITUAL
  Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…
  ☆10Updated 4 months ago
• TreeLLi / APT
  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
  ☆47Updated 4 months ago
• zugexiaodui / VPTinNSforCL
  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
  ☆14Updated 6 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆100Updated last year
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆38Updated last month
• RuoyuChen10 / SMDL-Attribution
  [ICLR 2024 Oral] Less is More: Fewer Interpretable Region via Submodular Subset Selection
  ☆78Updated 3 weeks ago
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆181Updated 2 years ago
• ZSHsh98 / EPS-AD
  This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
  ☆37Updated 6 months ago
• adarobustness / adaptation_robustness
  Evaluate robustness of adaptation methods on large vision-language models
  ☆18Updated last year
• DongSky / LPT
  ☆53Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• yuyongcan / STAMP
  The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"
  ☆18Updated 7 months ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆65Updated last year
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆20Updated 9 months ago
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆33Updated last week
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago