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#

anomaly-detection

Here are 2,761 public repositories matching this topic...

An open-source, low-code machine learning library in Python

  • UpdatedApr 21, 2025
  • Jupyter Notebook
sktime

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

  • UpdatedOct 10, 2025
  • Python

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

  • UpdatedOct 13, 2025
  • Python

Merlion: A Machine Learning Framework for Time Series Intelligence

  • UpdatedJun 20, 2024
  • Python

List of tools & datasets for anomaly detection on time-series data.

  • UpdatedOct 21, 2024

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  • UpdatedOct 13, 2025
  • Jupyter Notebook

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

  • UpdatedOct 13, 2025

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

  • UpdatedJun 30, 2024
  • Jupyter Notebook

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

  • UpdatedOct 13, 2025
flow-forecast

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

  • UpdatedOct 8, 2025
  • Python

A high-level machine learning and deep learning library for the PHP language.

  • UpdatedOct 1, 2025
  • PHP

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

  • UpdatedJun 10, 2025
  • Python
PyPOTS

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

  • UpdatedOct 6, 2025
  • Python

Find big moving stocks before they move using machine learning and anomaly detection

  • UpdatedAug 13, 2021
  • Python

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