Showing 1-18 of 18 projects
High-performance vector database for AI apps
Vector database for AI applications
Weaviate is an open-source vector database that combines vector search with structured filtering and scalability.
Open-source embedded retrieval library for building multimodal AI search and recommendation systems.
A Python script to download hundreds of images from Google Images.
Anime scene search engine that uses image similarity to quickly find matching scenes from a large database.
A PyTorch baseline implementation for person re-identification and vehicle re-identification tasks.
Open-source C++ library for fast, approximate nearest-neighbor search and clustering of vectors and objects
A computer vision toolbox for state-of-the-art person re-identification methods.
A C++ API and server for deep learning that supports popular frameworks like PyTorch, TensorFlow, and XGBoost.
This GitHub repository provides a Bootcamp for dealing with unstructured data like reverse image search, audio search, and NLP.
A highly scalable distributed vector search engine for high-dimensional data and AI applications.
A PyTorch library for joint discriminative and generative learning for person re-identification.
A .NET10-based image search library with a demo and tools for managing large image collections.
Multimodal AI toolkit for fast content understanding and generation across text, images, and video
A browser extension that allows developers to search text, images, and links on any search engine with a simple right-click or keyboard shortcut.
A Jupyter Notebook project that allows searching Unsplash photos using natural language queries.
A high-performance vector search and full-text search database fork of ClickHouse, focused on use cases for AI and ML developers.
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