A cloud-native vector database, storage for next generation AI applications
-
Updated
May 15, 2024 - Go
A cloud-native vector database, storage for next generation AI applications
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SOTA Re-identification Methods and Toolbox
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
Simple image search engine
👫 Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) 👫
Anime Scene Search by Image
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Browser extension for reverse image search, available for Chrome, Edge and Safari
Vision AI Solution Accelerator
Search photos on Unsplash using natural language
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
This Telegram Bot can tell the anime when you send an screenshot to it
A simple yet powerful module to retrieve organic search results and much more from Google.
TOMM2020 Dual-Path Convolutional Image-Text Embedding 🐾 https://arxiv.org/abs/1711.05535
Add a description, image, and links to the image-search topic page so that developers can more easily learn about it.
To associate your repository with the image-search topic, visit your repo's landing page and select "manage topics."