00ber/multi-step-time-series-forecasting
Multi-step Time Series Forecasting using LSTM
18
/ 100
Experimental
No commits in the last 6 months.
No License
Stale 6m
No Package
No Dependents
Maintenance
0 / 25
Adoption
4 / 25
Maturity
1 / 25
Community
13 / 25
Stars
6
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 06, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/00ber/multi-step-time-series-forecasting"
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
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
91
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
91
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
91
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
89