Alternatives and similar repositories for CHILS:

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

• tonyhuang2022 / UPL
  This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).
  ☆116Updated 3 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated last year
• megvii-research / protoclip
  📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
  ☆52Updated last year
• cvlab-columbia / DoubleRight
  ☆26Updated last year
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆36Updated 9 months ago
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆99Updated last year
• codezakh / LilT
  [ICLR 23] Contrastive Aligned of Vision to Language Through Parameter-Efficient Transfer Learning
  ☆38Updated last year
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆72Updated last year
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 5 months ago
• mayug / VDT-Adapter
  This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…
  ☆28Updated last year
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆49Updated last year
• yuhangzang / UPT
  ☆56Updated this week
• ivonajdenkoska / multimodal-meta-learn
  [ICLR 2023] Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning"
  ☆59Updated last year
• SivanDoveh / TSVLC
  Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models
  ☆46Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆100Updated last year
• lezhang7 / Enhance-FineGrained
  [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
  ☆48Updated 3 weeks ago
• cvl-umass / AdaptCLIPZS
  ☆39Updated 3 months ago
• lisadunlap / ALIA
  Augmenting with Language-guided Image Augmentation (ALIA)
  ☆76Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated 2 years ago
• arijitray1993 / COLA
  COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!
  ☆24Updated 5 months ago
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆105Updated last year
• shubhamprshr27 / NeglectedTailsVLM
  This repository houses the code for the paper - "The Neglected of VLMs"
  ☆28Updated 4 months ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆161Updated last year
• jmiemirza / LaFTer
  LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)
  ☆28Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆94Updated last year
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆56Updated 11 months ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆174Updated last year
• vinid / neg_clip
  NegCLIP.
  ☆31Updated 2 years ago
• emu1729 / GIST
  Generating Image Specific Text
  ☆27Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆62Updated 3 months ago