Unsupervised Machine Learning Python Packages

pymcr

pyMCR: Multivariate Curve Resolution for Python

sequenzo

A fast, scalable, and intuitive Python package in sequence analysis.

classixclustering

Fast and explainable clustering in Python

compsil

CompSil: Composite Silhouette for Cluster-Count Selection

emmv

Implementation of EM/MV metrics based on N. Goix et al.

bhad

Python library for explainable Bayesian Anomaly Detection

ascii-image-art

Python library for converting images into ASCII character strings and ASCII character colored images.

shapley-behaviors

Explainable Pattern Recognition for Materials and Biomedical Data

altanalyze3

AltAnalyze version 3 is a Python3 library to integrate and compare diverse RNA isoform datasets.

cake-ensemble

Confidence in Assignments via K-partition Ensembles

stringlifier

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

pyroved

Invariant representation learning from imaging and spectral data

louvainsplit

efficient graph partitioning

torchsom

TorchSOM is a PyTorch-based library for training Self-Organizing Maps (SOMs), a model trained in an unsupervised manner, that can be used for clustering, dimensionality reduction and data visualization. It is designed to be scalable and user-friendly.

basata

An open-source AutoML tool with a proven record in Kaggle competitions. A must-have in every Data Scientists toolbox.

chunkey-bert

ChunkeyBert is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings for unsupervised keyphrase extraction from long text documents.

extclustval

A lightweight Python package for external clustering validation metrics.

simple-kmeans

Implementation of K-means algorithm from scratch with adaptive distance metrics

ctec405library

Official Python Library for CTEC 405 – Applied Machine Learning & AI. Published by the Department of Electrical & Computer Engineering Technology – New York Institute of Technology.

pyprotoclust

Python Prototype Clustering: an implementation of minimax linkage for hierarchical clustering

intclustval

A lightweight Python package for internal clustering validation metrics.

stringlifier39

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

classipygrb

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

spivae

Stochastic processes insights from VAE. Code for the paper: Learning minimal representations of stochastic processes with variational autoencoders.