OpenAI's CLIP neural network
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Updated
Feb 5, 2021 - Python
OpenAI's CLIP neural network
Flask app to perform image search using semantic matching of input text and images
This repository contains research work on Adversarial Robustness Analysis for Deep Models.
Visual Search approach for OpenSearch
Reverse Image Search it is...
A Light weight deep learning model with with a web application to answer image-based questions with a non-generative approach for the VizWiz grand challenge 2023 by carefully curating the answer vocabulary and adding linear layer on top of Open AI's CLIP model as image and text encoder
视觉UI分析工具
An official open-source Image/Video retrieval engine, developed by Badger Team X in AI Challenge 2022
[ICCV2023] Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer
根据文本描述搜索本地图片的工具,powered by Rust + candle + CLIP
Реализация система извлечения изображений по текстовому описанию и поиск похожих фотографий
[ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
Semantic Search demo featuring UForm, USearch, UCall, and StreamLit, to visual and retrieve from image datasets, similar to "CLIP Retrieval"
VisuNex, a fork of original stable diffusion repository is an attempt to personalize text-to-image which allows users to personalize image creation based on their unique aesthetic preferences.
[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Repo deploying CLIP model to predict if an image is a hotdog or not.
Description of YOLO-World along with it's application
The most impactful papers related to contrastive pretraining for multimodal models!
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