jingwenshi-dev/Weather-Forecasting-by-GRU-Transformer
Predict the next 24 hours' temperatures by GRU and Transformer
This project helps operations managers, farmers, or logistics planners predict hourly temperatures for the next 24 hours in the Greater Toronto Area. It takes a week's worth of continuous hourly weather data, including temperature, humidity, wind speed, and pressure, and outputs a forecast for the upcoming day's temperatures. It's designed for professionals who rely on precise local temperature predictions.
No commits in the last 6 months.
Use this if you need accurate, localized 24-hour temperature forecasts to make decisions in agriculture, aviation, transportation, or public safety planning.
Not ideal if you need long-range forecasts beyond 24 hours, or predictions for weather variables other than temperature.
Stars
24
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/jingwenshi-dev/Weather-Forecasting-by-GRU-Transformer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NVIDIA/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
mllam/neural-lam
Research Software for Neural Weather Prediction for Limited Area Modeling
chengtan9907/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NVIDIA/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate...
microsoft/aurora
Implementation of the Aurora model for Earth system forecasting