Repository profile
Chronos: Pretrained Models for Time Series Forecasting
Repository updates
Get generated amazon-science/chronos-forecasting development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-15 03:03
5 captures since 2026-05-25
Stars from baseline +249
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-15 03:03
pyproject.toml
python ecosystem,
19 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Probabilistic time series modeling in Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Scalable and user friendly neural :brain: forecasting algorithms.
A unified framework for machine learning with time series
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
