opengeos/earthformer
A Python package for Earth forecasting transformer
This project helps researchers and scientists forecast Earth system phenomena. It takes in historical Earth observation data, such as satellite imagery or weather patterns, and outputs predictions for future conditions. Meteorologists, climate scientists, and environmental researchers can use this to model complex environmental changes.
No commits in the last 6 months. Available on PyPI.
Use this if you need to build or run advanced models for predicting future Earth system states based on historical spatial and temporal data.
Not ideal if you are looking for a simple, off-the-shelf weather app or general-purpose data analysis tool not focused on Earth system forecasting.
Stars
91
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 20, 2024
Commits (30d)
0
Dependencies
16
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/opengeos/earthformer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
philipperemy/keras-attention
Keras Attention Layer (Luong and Bahdanau scores).
tatp22/linformer-pytorch
My take on a practical implementation of Linformer for Pytorch.
ematvey/hierarchical-attention-networks
Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is...
datalogue/keras-attention
Visualizing RNNs using the attention mechanism
thushv89/attention_keras
Keras Layer implementation of Attention for Sequential models