kwuking/TimeMixer

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1981 stars · 238 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation of TimeMixer, an ICLR 2024 model for time series forecasting using decomposable multiscale mixing. It has since expanded to support long/short-term forecasting, anomaly detection, imputation, and classification, and is integrated into PyPOTS and NeuralForecast.

Use cases

• forecast future values of time series
• run long-term time series forecasting experiments
• detect anomalies in time series data
• impute missing values in time series
• classify time series
• reproduce ICLR 2024 TimeMixer paper results

When to choose

• you need a state-of-the-art deep learning model for time series forecasting
• you want a research reference implementation with paper-backed results
• you need multiple time series tasks (forecasting, imputation, anomaly detection, classification) in one model family

When to avoid

• you need a simple statistical forecasting method like ARIMA or Prophet
• you want a production-ready turnkey forecasting service rather than research code
• your data is not sequential/time-indexed

Facets

library · maturity active

machine-learning deep-learning machine-learning data-science time-series python time-series-forecasting iclr-2024 research-code multiscale-mixing pypots

Member repositories

For agents

markdown · JSON · MCP: product_card(name="kwuking/TimeMixer")