#unsupervised-learning (13 Repositories)
Ranked open-source repositories tagged with #unsupervised-learning, scored by pull request acceptance likelihood and maintainer engagement velocity.
18.9%
12.2h
13 repositories tagged #unsupervised-learning
open-edge-platform/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
linkedin/isolation-forest
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.
yzhao062/pyod
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
anish-lakkapragada/SeaLion
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
koalaverse/homlr
Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.
mhamilton723/STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
pathak22/unsupervised-video
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
amirbar/DETReg
Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
yxgeee/MMT
[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
gregversteeg/corex_topic
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx