📊 NMSLIB visualization tool
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Updated
Jun 18, 2024 - Python
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📊 NMSLIB visualization tool
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
pg based k-nn image search
Image search engine using Angular and Python.
A recommender system to recommend movies, books or shopping items list based on search.
Nearest Neighbour Search with Variables on a Torus
Course Project of Information Retrieval.
This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN
KNN search implemented by KD-tree and Ball-tree
Information about Neural Network's tools
Advanced database algorithms and data structures in Python. Features Spatial Indexing (R-Trees), 10D Vector Search (iDistance), and Join Operators (Pipelining). Developed at the University of Ioannina.
Go 1.26 SIMD 加速的向量检索引擎
Simple self-balancing Kd-Tree and KNN search library in pure C. Most tree operations are non-recursive, and therefore suited for embedded systems.
Repository with codes for Computational Astrophysics.
Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.
A super simple Q&A chat-bot applying vector search
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