Anomaly detection related books, papers, videos, and toolboxes

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.

A unified framework for machine learning with time series

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

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

The machine learning toolkit for time series analysis in Python

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

Highly comparative time-series analysis

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

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

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

Python AutoML for Trading Systems and Sports Betting

时间序列分析教程

TODS: An Automated Time-series Outlier Detection System

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

[ICLR 2024] Official implementation of "TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting"

A Python package for time series classification

Time Series Analysis with Python Cookbook, published by Packt

InceptionTime: Finding AlexNet for Time Series Classification

Anything can happen in the next half hour (including spectral timing made easy)!