revantteotia / clip-trainingLinks
Code to train CLIP model
☆124Updated 3 years ago
Alternatives and similar repositories for clip-training
Users that are interested in clip-training are comparing it to the libraries listed below
Sorting:
- Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning☆167Updated 3 years ago
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆287Updated last year
- code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022☆267Updated last year
- ☆194Updated 2 years ago
- ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning☆137Updated 2 years ago
- ☆62Updated 2 years ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Updated last year
- A Survey on multimodal learning research.☆334Updated 2 years ago
- MixGen: A New Multi-Modal Data Augmentation☆126Updated 2 years ago
- SmallCap: Lightweight Image Captioning Prompted with Retrieval Augmentation☆125Updated last year
- CapDec: SOTA Zero Shot Image Captioning Using CLIP and GPT2, EMNLP 2022 (findings)☆202Updated last year
- Recent Advances in Vision and Language Pre-training (VLP)☆296Updated 2 years ago
- PyTorch Reimplementation of LoRA (featuring with supporting nn.MultiheadAttention in OpenCLIP)☆73Updated 5 months ago
- Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)☆181Updated 5 months ago
- Official implementation of "ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based Polishing"☆75Updated 2 years ago
- PyTorch code for "VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks" (CVPR2022)☆207Updated 2 years ago
- [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning☆167Updated 2 years ago
- ☆59Updated 2 years ago
- Official implementation of "Everything at Once - Multi-modal Fusion Transformer for Video Retrieval." CVPR 2022☆116Updated 3 years ago
- 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 …☆286Updated 2 years ago
- official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"☆233Updated 5 months ago
- [ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion☆195Updated 4 months ago
- CLIPScore EMNLP code☆240Updated 2 years ago
- PyTorch implementation of LIMoE☆52Updated last year
- Exploring Visual Prompts for Adapting Large-Scale Models☆285Updated 3 years ago
- An easy to use, user-friendly and efficient code for extracting OpenAI CLIP (Global/Grid) features from image and text respectively.☆134Updated 10 months ago
- Official Pytorch implementation of "Probabilistic Cross-Modal Embedding" (CVPR 2021)☆134Updated last year
- Official implementation of "Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer".☆130Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆179Updated last year