thuml/Large-Time-Series-Model

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1010 stars · 110 forks observed · 2026-08-28

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

Official code, datasets, and checkpoints for Timer and Sundial, generative pre-trained Transformer foundation models for general time series analysis (ICML 2024, ICML 2025). It supports zero-shot forecasting, imputation, and anomaly detection via HuggingFace-compatible pretrained checkpoints.

Use cases

• forecast time series with zero-shot pretrained models
• run generative probabilistic time series forecasting
• fine-tune a large time series model on my own data
• detect anomalies in time series data
• impute missing values in time series
• pre-train a time series foundation model
• download time series pre-training datasets

When to choose

• you need zero-shot or few-shot forecasting without training a model from scratch
• you want a unified model for forecasting, imputation, and anomaly detection
• you are researching large time series foundation models
• your data is scarce and scenario-specific small models underperform

When to avoid

• you need classical statistical forecasting like ARIMA or Prophet for simple univariate series
• you need a lightweight production model with minimal dependencies
• your task is not time series related

Facets

library · maturity active

machine-learning deep-learning transformers data-science time-series machine-learning artificial-intelligence data-science python time-series-forecasting foundation-model pretrained-model zero-shot-forecasting anomaly-detection imputation transformer research-code huggingface gpu

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