Unsupervised Learning Python Packages

pyod

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

alibi-detect

Algorithms for outlier, adversarial and drift detection

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

pymcr

pyMCR: Multivariate Curve Resolution for Python

karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

anomaly-grid-py

Deviation detection using variable-order Markov-chains in finite alphabet sequences

phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

classixclustering

Fast and explainable clustering in Python

voxelmorph

Unsupervised Learning for Image Registration

tfsim-nightly

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

xcsf

XCSF learning classifier system: rule-based online evolutionary machine learning

hypertopos

Understand the structure of your data — without training machine learning models

spectralcluster

Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

relic-pytorch

A simple PyTorch implementation of the Representation Learning via Invariant Causal Mechanisms self-supervised contrastive learning paper

corextopic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

protein-bert-pytorch

Implementation of ProteinBERT in Pytorch

anomavision

Optimized PaDim based on Anodet

tensorflow-similarity

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

trcc

TRCC — T-Regulated Cytokine Clustering: density-peak clustering with path-density mutual-reachability merging

isolation-forest-onnx

A distributed Spark/Scala implementation of the isolation forest and extended isolation forest algorithms for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.

numalogic

Collection of operational Machine Learning models and tools.

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.