😈 the ultimate annoying daemon in python

Model to recognize celebrities using a face matching algorithm.

An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage 💥

Rcpp bindings for Annoy

Rust port of annoy (https://github.com/spotify/annoy)

Node bindings for Annoy, an efficient Approximate Nearest Neighbors implementation written in C++.

Multi-Modal Search over fashion datasets. Information Retrieval Tasks optimised using Spotify's Annoy, using text embeddings over captions and words generated from image via classifiers. Experimentation and Optimisation of hyper-parameters

This project demonstrates image similarity search using two advanced techniques: K-Nearest Neighbors (KNN) and Approximate Nearest Neighbors (ANNOY). This project uses the Caltech 101 dataset to extract features from images using the ResNet50 model, and then performs similarity searches to identify and visualize similar images.

A web app that help users pick their next insta-vacation destinations.

Elements of my term paper in Data Mining 2 at Faculty of Mathematics, University of Belgrade.

FAISS and Annoy indexing + search evaluation workflow

A recommendation system leveraging similarity measures to generate top-N item recommendations for various applications..

An R package for blocking records for record linkage / data deduplication based on approximate nearest neighbours algorithms.

A framework for the implementation of candidate generation/retrieval algorithms for recommender systems.

Implementation and analysis of various algorithms, libraries and systems, distributed and not, for Approximate Nearest Neighbors searches

Matching items and searching for the most similar products

Recommendation algorithms

query server for approximate nearest neighbors

AI image search retail demo using openAI's CLIP