AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
This tool helps scientists, forecasters, and analysts predict future values, categorize events, or identify unusual patterns in time-dependent data. You input historical data, such as sensor readings, financial metrics, or environmental conditions, and it outputs predictions, classifications, or anomaly alerts. It's designed for professionals who need to make data-driven decisions based on complex time series information.
2,276 stars.
Use this if you need to build advanced deep learning models for forecasting, classification, or anomaly detection on your time series data, especially if you're working with multivariate or long-sequence datasets.
Not ideal if you need simple, interpretable statistical models for time series or if your problem doesn't involve sequence data.
Stars
2,276
Forks
303
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AIStream-Peelout/flow-forecast"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
sktime/sktime
A unified framework for machine learning with time series
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
Nixtla/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.