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

The machine learning toolkit for time series analysis in Python

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

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.

TODS: An Automated Time-series Outlier Detection System

Python AutoML for Trading Systems and Sports Betting

A toolkit for conducting machine learning tasks with time series data

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

时间序列分析教程

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

Highly comparative time-series analysis

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.

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