TimesFM 3.0 (PyTorch)

Chronos-2 — Time Series Forecasting Model

AI Models

120M-parameter encoder-only time series foundation model designed for zero-shot forecasting. It supports various forecasting tasks and is efficient, delivering over…Chronos-2 is a 120M-parameter encoder-only time series foundation model designed for zero-shot forecasting. It supports various forecasting tasks and is efficient, delivering over…

PatchTST

AI Models

Official implementation of a Transformer-based model for long-term time series forecasting. It segments time series into patches and processes them independently,…PatchTST is an official implementation of a Transformer-based model for long-term time series forecasting. It segments time series into patches and processes them independently,…

FEDformer

AI GitHub Repos

Frequency Enhanced Decomposed Transformer designed for efficient long-term time series forecasting. It achieves linear complexity with sequence length,…FEDformer is a Frequency Enhanced Decomposed Transformer designed for efficient long-term time series forecasting. It achieves linear complexity with sequence length,…

LTSF-Linear

AI GitHub Repos

Official PyTorch implementation for "Are Transformers Effective for Time Series Forecasting?". It introduces a family of linear models (Linear, DLinear, NLinear)…LTSF-Linear is an official PyTorch implementation for "Are Transformers Effective for Time Series Forecasting?". It introduces a family of linear models (Linear, DLinear, NLinear)…

TimesNet

AI Models

Foundation model for general time series analysis, transforming 1D series into 2D space for enhanced modeling. It achieves state-of-the-art results in forecasting,…TimesNet is a foundation model for general time series analysis, transforming 1D series into 2D space for enhanced modeling. It achieves state-of-the-art results in forecasting,…

Autoformer

AI GitHub Repos

AI model for long-term time series forecasting, leveraging decomposition transformers and auto-correlation mechanisms. It achieves state-of-the-art results across…Autoformer is an AI model for long-term time series forecasting, leveraging decomposition transformers and auto-correlation mechanisms. It achieves state-of-the-art results across…

Chronos

AI GitHub Repos

GitHub repository offering pretrained models for time series forecasting. Developed by Amazon Science, it provides tools for accurate predictions in various domains,…Chronos is a GitHub repository offering pretrained models for time series forecasting. Developed by Amazon Science, it provides tools for accurate predictions in various domains,…

Prophet

AI Frameworks

Open-source forecasting procedure developed by Facebook. It is designed for time series data with strong seasonal effects and multiple seasons. Prophet is fast,…Prophet is an open-source forecasting procedure developed by Facebook. It is designed for time series data with strong seasonal effects and multiple seasons. Prophet is fast,…