text-image-retrieval

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

The back-end of cross-modal retrieval system，wihch will contain services such as semantic location .etc

A multimodal image search engine built on the GME model, capable of handling diverse input types. Whether you're querying with text, images, or both, provides powerful and flexible image retrieval under arbitrary inputs. Perfect for research and demos.

PyTorch implementation of 'CLIP' (Radford et al., 2021) from scratch and training it on Flickr8k + Flickr30k

PIMA - A Novel Approach for Pill-Prescription Matching with GNN Assistance and Contrastive Learning

The LLM-Powered Video Search System is an advanced multimodal video search solution that leverages Large Language Models (LLMs) to enhance video retrieval through text, image, and metadata queries.

A search engine, operating on the foundation of the OpenAI Clip Model to retrieve images corresponding to textual queries.

Digimon Dataset for MultiModal Machine Learning