moein-shariatnia / OpenAI-CLIPLinks
Simple implementation of OpenAI CLIP model in PyTorch.
☆703Updated 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.☆710Updated 3 years ago
- Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch☆1,177Updated last year
- Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).☆1,215Updated last year
- Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch☆1,261Updated 2 years ago
- A concise but complete implementation of CLIP with various experimental improvements from recent papers☆713Updated last year
- Robust fine-tuning of zero-shot models☆740Updated 3 years ago
- TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.☆1,648Updated last week
- Simple image captioning model☆1,392Updated last year
- CLIP-like model evaluation☆767Updated last month
- GIT: A Generative Image-to-text Transformer for Vision and Language☆573Updated last year
- [ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decode…☆869Updated 2 years ago
- OpenAI CLIP text encoders for multiple languages!☆811Updated 2 years ago
- Code release for SLIP Self-supervision meets Language-Image Pre-training☆781Updated 2 years ago
- Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm☆666Updated 3 years ago
- A method to increase the speed and lower the memory footprint of existing vision transformers.☆1,098Updated last year
- A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''☆1,328Updated last year
- Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)☆926Updated last year
- Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time☆482Updated last year
- [CVPR 2022] Official code for "Unified Contrastive Learning in Image-Text-Label Space"☆402Updated last year
- Explainability for Vision Transformers☆1,002Updated 3 years ago
- Easily compute clip embeddings and build a clip retrieval system with them☆2,642Updated last month
- Probing the representations of Vision Transformers.☆329Updated 2 years ago
- Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch☆540Updated last year
- [CVPR 2022] Official PyTorch Implementation for DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models☆857Updated 2 years ago
- Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.☆771Updated 3 years ago
- Official implementation of VQ-Diffusion☆959Updated last year
- Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.☆3,124Updated 3 months ago
- This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".☆1,281Updated last year
- ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Expert…☆1,675Updated 2 weeks ago
- Grounded Language-Image Pre-training☆2,495Updated last year