Alternatives and similar repositories for clip-training

Users that are interested in clip-training are comparing it to the libraries listed below

• LijieFan / LaCLIP
  [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"
  ☆287Updated 2 years ago
• Weixin-Liang / Modality-Gap
  Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
  ☆168Updated 3 years ago
• uta-smile / TCL
  code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022
  ☆268Updated last year
• zengyan-97 / X2-VLM
  All-In-One VLM: Image + Video + Transfer to Other Languages / Domains (TPAMI 2023)
  ☆167Updated last year
• phellonchen / awesome-Vision-and-Language-Pre-training
  Recent Advances in Vision and Language Pre-training (VLP)
  ☆295Updated 2 years ago
• ZhangYuanhan-AI / NOAH
  [TPAMI] Searching prompt modules for parameter-efficient transfer learning.
  ☆238Updated 2 years ago
• naver-ai / pcme
  Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)
  ☆138Updated last year
• RitaRamo / smallcap
  SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation
  ☆126Updated last year
• sarahpratt / CuPL
  ☆200Updated 2 years ago
• Baijiong-Lin / LoRA-Torch
  PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention in OpenCLIP)
  ☆76Updated 7 months ago
• ilkerkesen / frozen
  A PyTorch implementation of Multimodal Few-Shot Learning with Frozen Language Models with OPT.
  ☆44Updated 3 years ago
• dhg-wei / DeCap
  ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning
  ☆137Updated 2 years ago
• yuxiaochen1103 / FDT
  ☆62Updated 2 years ago
• amazon-science / mix-generation
  MixGen: A New Multi-Modal Data Augmentation
  ☆126Updated 3 years ago
• LAION-AI / scaling-laws-openclip
  Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
  ☆188Updated 7 months ago
• allenai / close
  ☆59Updated 2 years ago
• ylsung / VL_adapter
  PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)
  ☆208Updated 3 years ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆174Updated 2 years ago
• jianjieluo / OpenAI-CLIP-Feature
  An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.
  ☆136Updated last year
• miccunifi / SEARLE
  [ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion
  ☆196Updated 5 months ago
• sunanhe / MKT
  Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".
  ☆130Updated last year
• mertyg / vision-language-models-are-bows
  Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR …
  ☆290Updated 2 years ago
• DavidHuji / CapDec
  CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)
  ☆202Updated 2 years ago
• YeonwooSung / LIMoE-pytorch
  PyTorch implementation of LIMoE
  ☆52Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆167Updated 2 years ago
• ivonajdenkoska / multimodal-meta-learn
  [ICLR 2023] Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning"
  ☆60Updated 2 years ago
• joeyz0z / ConZIC
  Official implementation of "ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing"
  ☆75Updated 2 years ago
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆182Updated last year
• Yutong-Zhou-cv / Awesome-Multimodality
  A Survey on multimodal learning research.
  ☆334Updated 2 years ago
• yossigandelsman / clip_text_span
  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
  ☆233Updated 7 months ago