Prithvi-WxC
Transformer model
A scalable 2D transformer model for predicting weather and climate patterns
Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
114 stars
5 watching
20 forks
Language: Python
last commit: 12 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A pre-trained transformer model designed to process and analyze remote sensing timeseries data | 200 |
| | A Python interface between Earth Engine and xarray for processing time series data | 207 |
| | An implementation of a deep learning model for predicting weather and climate patterns | 373 |
| | A Python-based software kernel for performing spatial environmental impact assessments using ecological models and knowledge rules. | 5 |
| | An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
| | A Python package for analyzing and optimizing energy systems, buildings, and indoor climate models. | 11 |
| | Provides a collection of reusable data transformation tools | 10 |
| | An implementation of Reformer, an efficient Transformer model for natural language processing tasks. | 2,132 |
| | A PyTorch implementation of end-to-end speech recognition models. | 756 |
| | A Python implementation of a spatiotemporal image fusion algorithm | 133 |
| | An implementation of the FV3GFS / SHiELD atmospheric model in Python | 37 |
| | Creates WRF-Chem emission file from spatially and temporally disaggregated local emissions data | 29 |
| | An implementation of Google Research's MetNet and MetNet-2 weather forecasting models using PyTorch. | 245 |
| | Implementation of a transformer-based translation model in PyTorch | 240 |
| | A Python wrapper around a climate model allowing users to simulate and analyze climate change scenarios | 43 |