Anomaly detection related books, papers, videos, and toolboxes

A unified framework for machine learning with time series

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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

A machine learning toolkit dedicated to time-series data

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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

A Python package for time series classification

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

TODS: An Automated Time-series Outlier Detection System

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Highly comparative time-series analysis

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

时间序列分析教程

InceptionTime: Finding AlexNet for Time Series Classification

A unified framework for machine learning with time series

A use-case focused tutorial for time series forecasting with python

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

AtsPy: Automated Time Series Models in Python (by @firmai)