Benchmarks of approximate nearest neighbor libraries in Python
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Updated
May 24, 2024 - Python
Benchmarks of approximate nearest neighbor libraries in Python
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
Movie Recommender API: FastAPI-based backend for movie recommendations using collaborative filtering.
Fashion Recommendation System using Deep Learning
Cell approximate nearest neighbors (ANN)
Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
The Traveling Salesman Problem (TSP) aims for the most efficient route across cities. This Python project, employing Tkinter and the Model-View-Controller (MVC) architecture, visualizes TSP solutions. It generates random cities, utilizes the nearest neighbor algorithm, and presents the optimal path with a Tkinter-based GUI.
Solution to nearest neighbour problem
A Travelling Salesman Problem (TSP) solver using a hybrid of strategies
⚛️🤖 Data-driven nearest neighbor models for predicting experimental results on silicon lithium-ion battery anodes
Travel Salesman Problem with Brute Forca, Nearest Neighbour, Minimum Spanning Tree
Fast graph-regularized matrix factorization
K-Nearest Neighbors Time Series Prediction with Invariances
About A fashion Recommender system using deep learning and Nearest neighbour algorithm.
Code for my bachelor thesis Quantum chaos on Graphs. The main part of this repository is its root-finding solution. Then, the Nearest Neighbor Distribution is performed for the quantum spectra and also for the spectra of some random matrices.
A lightweight and efficient Python Morton encoder with support for geo-hashing
Travelling Salesman Problem using Held-Carp algorithm, Nearest neighbour and greedy algorithms.
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