yaelelmatad/RunTime-Public

RunTime: intensity-free, TPP-aligned Transformer for probabilistic forecasting on irregular event streams, regular event streams, or general regression tasks.

26
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 4 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

—

Language

Jupyter Notebook

License

Apache-2.0

Category

time-series-forecasting

Last pushed

Mar 13, 2026

Commits (30d)

0

GitHub
Time Series Forecasting · 252 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yaelelmatad/RunTime-Public"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

sktime/sktime

A unified framework for machine learning with time series

98

aeon-toolkit/aeon

A toolkit for time series machine learning and deep learning

98

skforecast/skforecast

Time series forecasting with machine learning models

93

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

91

Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

89

Explore ML Frameworks

All categories Trending ML Framework directory Insights