Alternatives and similar repositories for csp

Users that are interested in csp 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).
  ☆115Updated 3 years ago
• acmi-lab / CHILS
  Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  ☆57Updated 2 years ago
• ExplainableML / WaffleCLIP
  Official repository for the ICCV 2023 paper: "Waffling around for Performance: Visual Classification with Random Words and Broad Concepts…
  ☆57Updated 2 years ago
• sarahpratt / CuPL
  ☆192Updated 2 years 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…
  ☆29Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆165Updated 2 years ago
• Computer-Vision-in-the-Wild / Elevater_Toolkit_IC
  Toolkit for Elevater Benchmark
  ☆73Updated last year
• sachit-menon / classify_by_description_release
  ☆170Updated last year
• cvlab-columbia / DoubleRight
  ☆27Updated last year
• sIncerass / MVLPT
  code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720
  ☆57Updated last year
• allenai / close
  ☆59Updated last year
• yuhui-zh15 / drml
  Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)
  ☆34Updated 2 years ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆169Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated 2 years ago
• megvii-research / protoclip
  📍 Official pytorch implementation of paper "ProtoCLIP: Prototypical Contrastive Language Image Pretraining" (IEEE TNNLS)
  ☆53Updated last year
• cvl-umass / AdaptCLIPZS
  ☆42Updated 7 months ago
• ExplainableML / czsl
  PyTorch CZSL framework containing GQA, the open-world setting, and the CGE and CompCos methods.
  ☆122Updated 2 years ago
• lisadunlap / LADS
  Official Implementation of LADS (Latent Augmentation using Domain descriptionS)
  ☆51Updated 2 years ago
• SivanDoveh / TSVLC
  Repository for the paper: Teaching Structured Vision & Language Concepts to Vision & Language Models
  ☆46Updated last year
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆103Updated 2 years ago
• goel-shashank / CyCLIP
  ☆120Updated 2 years ago
• haoosz / ade-czsl
  [CVPR 2023] Learning Attention as Disentangler for Compositional Zero-shot Learning
  ☆39Updated 2 years ago
• gaopengcuhk / BALLAD
  ☆59Updated 3 years ago
• yuxiaochen1103 / FDT
  ☆62Updated 2 years ago
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆106Updated last year
• lezhang7 / Enhance-FineGrained
  [CVPR 2024] Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Fine-grained Understanding
  ☆50Updated 4 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?"
  ☆177Updated last year
• yuhangzang / UPT
  ☆58Updated 3 months ago
• altndrr / vic
  Code implementation of our NeurIPS 2023 paper: Vocabulary-free Image Classification
  ☆107Updated last year
• showlab / datacentric.vlp
  Compress conventional Vision-Language Pre-training data
  ☆52Updated last year