anns

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Python SDK for Milvus Vector Database

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

cuVS - a library for vector search and clustering on the GPU

Java SDK for Milvus.

Go SDK for Milvus(Deprecated)

HNSW tutorial

A low-latency, billion-scale, and updatable graph-based vector store on SSD.

EEG inverse solution with artificial neural networks. This package works with MNE-Python data structures for easy integration into your MNE-based M/EEG code

Milvus official website.

A fast header-only graph-based index for approximate nearest neighbor search (ANNS). https://flatnav.net

Official implementation for paper "Navigating Labels and Vectors: A Unified Approach to Filtered Approximate Nearest Neighbor Search"

This is a source code for LSH-APG (PVLDB 2023)

Shotit is a screenshot-to-video search engine tailored for TV & Film, blazing-fast and compute-efficient.

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…

A cross-modal vector index with fast construction on heterogeneous CPU-GPU environment. Published on DaMoN@SIGMOD 2025.

GPU-native approximate nearest neighbor search for Apple Silicon. Pure Swift + Metal — CAGRA-style graph index with full mutability, filtered search, streaming ingest, and multiple persistence modes.

AI@UCF's custom-made course, organized by semesters

Jigen DB is vector database written from scratch in c#

A Lucene codec for vector search and clustering on the GPU