Knn Python Packages

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

tfsim-nightly

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

pynear

A python library for efficient KNN search within metric spaces using multiple distance functions.

pgml

Postgres with GPUs for ML/AI apps.

tensorflow-similarity

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

numpy-ml

Machine learning, in numpy

ibug

Instance-based uncertainty estimation for gradient-boosted regression trees

pyreclab

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

similaripy

High-performance KNN similarity functions in Python, optimized for sparse matrices

pyterp

A high-performance Python library for parallel k-NN search and IDW on scattered data, powered by a C++ core.

quaterion

Similarity Learning fine-tuning framework

synloc

A Python package to create synthetic data from locally estimated distributions

imageatlas

A toolkit for organizing, cleaning and analysing your image datasets.

sequentia

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

sklearn-ann

Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.

simpleir

[EXTRACT][RETRIEVAL][METRIC]A Simple Framework for Image Retrieval

python3-timbl

python-timbl, originally developed by Sander Canisius, is a Python extension module wrapping the full TiMBL C++ programming interface. With this module, all functionality exposed through the C++ interface is also available to Python scripts. Being able to access the API from Python greatly facilitates prototyping TiMBL-based applications.

wsknn

Session-weighted recommendation system in Python

metasklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

pgml-extension

Postgres with GPUs for ML/AI apps.

datamunger

python package for handling nan's and outliers

gml-kin

KIN (K Immediate Neighbors) is a machine learning algorithm inspired by KNN (K Nearest Neighbors) which has been adjusted to graph-structured data.

eigen-client

EigenDB's Official Python API

awnn

Implementation of Nearest Neighbor Based Density Estimation