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

Python SDK for Milvus.

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.

Java SDK for Milvus.

Go SDK for Milvus.

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

HNSW tutorial

Milvus official website.

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

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…

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

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

Simple gRPC server for vector searching implemented by Python and Faiss

Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.

The ultimate brain of Shotit, in charge of task coordination.

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

Four core workers of shotit: watcher, hasher, loader and searcher.

In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.