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

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

A toolkit for conducting machine learning tasks with time series data

InceptionTime: Finding AlexNet for Time Series Classification

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

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

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

Modeltime unlocks time series forecast models and machine learning in one framework

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法