Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

A unified framework for machine learning with time series

Anomaly detection related books, papers, videos, and toolboxes

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

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

The machine learning toolkit for time series analysis in Python

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.

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.

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

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

A Python package for time series classification

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

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

Python AutoML for Trading Systems and Sports Betting

TODS: An Automated Time-series Outlier Detection System

A toolkit for time series machine learning and deep learning

time series analysis tutorial

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

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024) and subsequent works