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Search results for python nearest neighbors

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29 search results found

Ann Benchmarks ⭐ 4,301

Benchmarks of approximate nearest neighbor libraries in Python

Point Cloud Utils ⭐ 1,109

A Python library for common tasks on 3D point clouds

Similarity ⭐ 979

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

Pynomaly ⭐ 295

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Knn Transformers ⭐ 151

PyTorch + HuggingFace code for RetoMaton: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022), including an implementation of kNN-LM and kNN-MT

Snca.pytorch ⭐ 136

Improving Generalization via Scalable Neighborhood Component Analysis

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

Sign Language Recognition ⭐ 102

✌️ 👌 ✊ 📷 Sign Language Recognition using Python

Fast Near Duplicate Image Search ⭐ 101

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

Pymorton ⭐ 97

A lightweight and efficient Python Morton encoder with support for geo-hashing

Machinelearningwithpython ⭐ 79

Get started with Machine Learning with Python - An introduction with Python programming examples

Rcppannoy ⭐ 70

Rcpp bindings for Annoy

Dense Vector Ranking Performance ⭐ 68

Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN

Adventures With Ann ⭐ 41

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

SIGIR 2017: Embedding-based query expansion for weighted sequential dependence retrieval model

A Cython interface to FLANN

🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings

Fast k-NN graph construction for slow metrics

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Adversarial Nonparametrics ⭐ 17

Robustness for Non-Parametric Classification: A Generic Attack and Defense

Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.

Frankenz ⭐ 15

A photometric redshift monstrosity

kNN-based next-basket recommendation

Pynanoflann ⭐ 13

Unofficial python wrapper to the nanoflann k-d tree

Retomaton ⭐ 13

PyTorch code for the RetoMaton paper: "Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval" (ICML 2022)

Knn With Tensorflow ⭐ 12

This is a implementation of k nearest neighbors with tensorflow

Ai Residential Electricity Bill Prediction ⭐ 11

Prediction of Residential Electricty Bill Amount using Aritificial Intelligence

Self Organizing Bots ⭐ 10

A group of small robots capable of organizing themselves in any given structure.

Binary Word Embeddings ⭐ 8

Generates binary word embeddings by analyzing Wikipedia

C++ Vantage Point Tree implementation with Python bindings

Tsp_solver ⭐ 6

Python code for visualizations of algorithms that provide approximate solutions to TSP along with two lower bound approximations

K-Nearest Neighbors Time Series Prediction with Invariances

Vsx Client ⭐ 6

Client interface for requesting hardware accelerated distance calculation

Face_amnesia ⭐ 5

Face detection and retrieval in image and video files.

Tsp Solver ⭐ 5

A Travelling Salesman Problem (TSP) solver using a hybrid of strategies

Pylearning ⭐ 5

Simple high-level machine-learning library in Python

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