anomaly-detection

Here are 2,901 public repositories matching this topic...

cleanlab / cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Updated Jan 13, 2026
Python

yzhao062 / pyod

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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.

data-science machine-learning data-mining deep-learning time-series outlier-detection unsupervised-learning fraud-detection anomaly-detection multimodal outlier-ensembles novelty-detection out-of-distribution-detection time-series-anomaly-detection image-anomaly-detection foundation-models graph-anomaly-detection agentic-ai nlp-anomaly-detection

Updated Jul 20, 2026
Python

sktime / sktime

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A unified framework for machine learning with time series

data-science machine-learning data-mining ai time-series scikit-learn forecasting hacktoberfest time-series-analysis anomaly-detection time-series-classification time-series-regression time-series-segmentation sktime changepoint-detection

Updated Jul 19, 2026
Python

pycaret / pycaret

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Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

react python open-source data-science machine-learning clustering scikit-learn ml regression classification automl anomaly-detection mlops fastapi pycaret

Updated Jul 11, 2026
Python

unit8co / darts

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A python library for user-friendly forecasting and anomaly detection on time series.

python data-science machine-learning deep-learning time-series forecasting anomaly-detection

Updated Jul 18, 2026
Python

yzhao062 / anomaly-detection-resources

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Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

machine-learning data-mining awesome awesome-list outlier-detection unsupervised-learning fraud-detection time-series-analysis vlm anomaly-detection fraud outlier outlier-ensembles graph-neural-networks large-language-models llm vlms

Updated Mar 2, 2026
Python

open-edge-platform / anomalib

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An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

unsupervised-learning anomaly-detection neural-network-compression openvino anomaly-segmentation anomaly-localization geti

Updated Jul 18, 2026
Python

salesforce / Merlion

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Merlion: A Machine Learning Framework for Time Series Intelligence

benchmarking machine-learning time-series forecasting ensemble-learning automl anomaly-detection

Updated Mar 11, 2026
Python

stumpy-dev / stumpy

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STUMPY is a powerful and scalable Python library for modern time series analysis

python data-science pattern-matching pydata dask numba motif-discovery time-series-analysis anomaly-detection time-series-data-mining matrix-profile time-series-segmentation

Updated Jul 13, 2026
Python

ailia-ai / ailia-models

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The collection of pre-trained, state-of-the-art AI models for ailia SDK

Updated Jul 20, 2026
Python

AIStream-Peelout / flow-forecast

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Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

deep-neural-networks deep-learning time-series pytorch transformer lstm forecasting transfer-learning hacktoberfest time-series-analysis anomaly-detection time-series-forecasting time-series-regression state-of-the-art-models

Updated Jul 8, 2026
Python

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values