moein-shariatnia / OpenAI-CLIPLinks
Simple implementation of OpenAI CLIP model in PyTorch.
☆689Updated last year
Alternatives and similar repositories for OpenAI-CLIP
Users that are interested in OpenAI-CLIP are comparing it to the libraries listed below
Sorting:
- A PyTorch Lightning solution to training OpenAI's CLIP from scratch.☆702Updated 3 years ago
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch☆1,155Updated last year
- Robust fine-tuning of zero-shot models☆721Updated 3 years ago
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).☆1,208Updated last year
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,249Updated 2 years ago
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.☆1,625Updated last week
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆711Updated last year
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆856Updated last year
- Simple image captioning model☆1,381Updated last year
- GIT: A Generative Image-to-text Transformer for Vision and Language☆571Updated last year
- CLIP-like model evaluation☆737Updated 3 weeks ago
- Code release for SLIP Self-supervision meets Language-Image Pre-training☆773Updated 2 years ago
- Probing the representations of Vision Transformers.☆327Updated 2 years ago
- OpenAI CLIP text encoders for multiple languages!☆804Updated 2 years ago
- Explainability for Vision Transformers☆978Updated 3 years ago
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)☆917Updated last year
- [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"☆401Updated last year
- ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Expert…☆1,474Updated this week
- A method to increase the speed and lower the memory footprint of existing vision transformers.☆1,073Updated last year
- Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch☆537Updated last year
- Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.☆766Updated 3 years ago
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm☆660Updated 2 years ago
- Grounded Language-Image Pre-training☆2,461Updated last year
- Code for ALBEF: a new vision-language pre-training method☆1,675Updated 2 years ago
- Easily compute clip embeddings and build a clip retrieval system with them☆2,595Updated last year
- [CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models☆845Updated 2 years ago
- A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''☆1,317Updated last year
- DataComp: In search of the next generation of multimodal datasets☆722Updated 2 months ago
- iBOT : Image BERT Pre-Training with Online Tokenizer (ICLR 2022)☆736Updated 3 years ago
- Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"☆1,475Updated last year