Alternatives and similar repositories for PETL-ViT

Users that are interested in PETL-ViT are comparing it to the libraries listed below

• winycg / CLIP-KD
  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation
  ☆129Updated last month
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆70Updated last year
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆108Updated 4 months ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆186Updated last year
• htyao89 / KgCoOp
  ☆101Updated last year
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆72Updated 2 years ago
• muzairkhattak / PromptSRC
  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…
  ☆277Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆90Updated last year
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆107Updated 2 years ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆171Updated last year
• ryongithub / GatedPromptTuning
  ☆54Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆102Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆100Updated last year
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆105Updated last year
• ShoufaChen / AdaptFormer
  [NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
  ☆370Updated 3 years ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆235Updated last year
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆104Updated 2 years ago
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆81Updated last year
• vgthengane / Continual-CLIP
  Official repository for "CLIP model is an Efficient Continual Learner".
  ☆101Updated 2 years ago
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆198Updated 2 years ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆82Updated 5 months ago
• pengzhiliang / G2SD
  ☆87Updated 2 years ago
• DavidYanAnDe / ARC
  ☆34Updated last year
• DongSky / LPT
  ☆53Updated 3 years ago
• UMass-Embodied-AGI / Mod-Squad
  ☆92Updated 2 years ago
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆106Updated last year
• yangyangyang127 / APE
  [ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"
  ☆149Updated last year
• Paranioar / UniPT
  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
  ☆67Updated 11 months ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆100Updated 3 months ago
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆167Updated 2 years ago