55 Open source projects that are alternatives of or similar to Dolphinn

LSH index for approximate set containment search

Accurate and Fast ALSH for Maximum Inner Product Search (KDD 2018)

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🙃Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.

Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.

Near-duplicate image detection using Locality Sensitive Hashing

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

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Locality Sensitive Hashing in Rust with Python bindings

Unofficial python wrapper to the nanoflann k-d tree

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Locality Sensitive Hashing for semantic similarity (Python 3.x)

Locality Sensitive Hashing for Go (Multi-probe LSH, LSH Forest, basic LSH)

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Quick ADC

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

Minhash LSH in Golang

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

A scalable nearest neighbor search library in Apache Spark

A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.

Some useful tips for faiss

Vald. A Highly Scalable Distributed Vector Search Engine

Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

Pure python implementation of product quantization for nearest neighbor search

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Nearest neighbor search for Rails and Postgres

Fast and memory-efficient ANN with a subset-search functionality

gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

📝Awesome and classical image retrieval papers

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

Utilities for point cloud processing. read ply, write ply, search nearest neighbors using octree ...

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An open-source vector database for embedding similarity search and AI applications.

Statistical Machine Intelligence & Learning Engine

Open source audio fingerprinting in .NET. An efficient algorithm for acoustic fingerprinting written purely in C#.

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

A Python nearest neighbor descent for approximate nearest neighbors

mlpack: a scalable C++ machine learning library --

an implementation of parallel linear BVH (LBVH) on GPU

Open-source vector similarity search for Postgres

All the code for a series of Medium articles on Approximate Nearest Neighbors

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A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

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Benchmarking approximate nearest neighbors. Note: This is an archived version from our SISAP 2017 paper, see below.

A header-only C++ library for k nearest neighbor search with Eigen3.