sktime/pytorch-forecasting
Time series forecasting with PyTorch
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Appears on
Quick read
Latest capture 2026-10-17 04:10
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
1 path
Agent instructions and tool configuration found in this repository.
Agent instructions
126 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +14557
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Time series forecasting with PyTorch
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Scalable machine 🤖 learning for time series forecasting.
A python library for user-friendly forecasting and anomaly detection on time series.
Chronos: Pretrained Models for Time Series Forecasting
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"