Knn Python Packages

pynear

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

clip-retrieval

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

pgml

Postgres with GPUs for ML/AI apps.

tensorflow-similarity

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

tfsim-nightly

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

pyterp

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

numpy-ml

Machine learning, in numpy

ibug

Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

similaripy

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

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.

metasklearn

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

imageatlas

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

sklearn-ann

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

sequentia

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

quaterion

Similarity Learning fine-tuning framework

python3-timbl

Python 3 language binding for the Tilburg Memory-Based Learner

pgml-extension

Postgres with GPUs for ML/AI apps.

simpleir

A Simple Framework for Image Retrieval

eigen-client

The blazingly fast in-memory vector database 🚀

wsknn

Weighted session-based model for recommendations

synloc

A Python package to create synthetic data from locally estimated distributions

datamunger

python package for handling nan's and outliers

smart-knn

smartKNN - A feature-weighted KNN algorithm with automatic preprocessing, normalization, and learned feature importance.

machlearn

A Simple Yet Powerful Machine Learning Python Library