68 results for “topic:annoy”
Lightweight Nearest Neighbors with Flexible Backends
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage :boom:
📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/
Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词
Rcpp bindings for Annoy
Rust port of annoy (https://github.com/spotify/annoy)
The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.
No description provided.
Deeplearing based Reverse Image Search using Annoy library
An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.
A minimal implementation of spotify/annoy in pure rust
Применяем Singular Value Decomposition with implicit feedback для задачи рекомендации аниме
A web app that help users pick their next insta-vacation destinations.
sends roblox friend requests
Hyper performant kNN using Annoy for Apache Spark.
Model to recognize celebrities using a face matching algorithm.
Advertisement search interface based on image similarity.
Annoy wrapper for Unity / C#
MNIST digits image similarity search by Indexing with Annoy and using trained embeddings from a Siamese Net with Triplet Loss .
Semnet efficiently constructs graph structures from embeddings, enabling graph-based analysis and operations over large collections embedded texts, images, and more.
My own "Game of Life" algorithm, designed to annoy people!
한동대학교의 소식을 한 번에 볼 수 있게 도와줄 Handong Feed. MSA 기반 교내 정보 큐레이션 플랫폼으로, 실시간 중복 탐지(TF-IDF/Annoy)와 LLM 자동 태깅으로 데이터 70%를 압축하여 고밀도 정보를 제공합니다.
🏞 A content-based image retrieval (CBIR) system
Image Recommendation via similarity retrieval through deep learning
Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.
A Flask app with a search engine for GoodReads books, featuring simple and neural search capabilities using Whoosh, Annoy and HuggingFace transformers.
query server for approximate nearest neighbors
A unified interface for vector databases
No description provided.
A simple tool to retrieve relevant Wikipedia passages