time-series-analysis

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. Last update late 2025 for LLM and VLM works!

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

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.

The machine learning toolkit for time series analysis in Python

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

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).

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

Python AutoML for Trading Systems and Sports Betting

A toolkit for time series machine learning and deep learning

An Awesome List of the latest time series papers and code from top AI venues.

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

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

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

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.

Resources for working with time series and sequence data

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

Time series analysis for Rust, with bindings to Python and Javascript

A comprehensive survey on the time series domains

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.