Knn Python Packages

pgml

Postgres with GPUs for ML/AI apps.

tfsim-nightly

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

clip-retrieval

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

tensorflow-similarity

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

pyreclab

Library for quickly testing and prototyping of traditional recommender system methods

ibug

Instance-based uncertainty estimation for gradient-boosted regression trees

pyterp

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

quaterion

Blazing fast framework for fine-tuning similarity learning models

numpy-ml

Machine learning, in numpy

similaripy

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

synloc

A Python package to create synthetic data from locally estimated distributions

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.

sequentia

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

pgml-extension

Simple machine learning in PostgreSQL.

wsknn

Weighted session-based model for recommendations

sklearn-ann

Various integrations for ANN (Approximate Nearest Neighbours) libraries into scikit-learn.

imageatlas

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

machlearn

A Simple Yet Powerful Machine Learning Python Library

metasklearn

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

datamunger

python package for handling nan's and outliers

pytrain

Machinelearning library for python

smart-knn

A modern, weighted k-nearest neighbors algorithm with learned feature importance and fast CPU inference.

awnn

Adaptive Weighted Nearest Neighbor Density Estimation