Stars
RainNet: a convolutional neural network for radar-based precipitation nowcasting
A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.
This repository contains the Python implementation of AutoPV for automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
Simple, fast integration with Amazon S3, Google Cloud Storage, Azure Storage, and S3-compliant APIs like Cloudflare R2
Open-source, cloud-native transactional tensor storage engine
A High-Performance Data Science Toolkit for the Earth Sciences
Uncertainty quantification for data-driven weather models.
Implementation of the Prithvi WxC Foundation Model and Downstream Tasks
Automated seasonal forecast project powered by Google Cloud through our channel partner Ingram Micro. Updates on 10th of the month.
🌦️ A catalogue and categorization of AI-based weather forecasting models.
A comprehesive survey about foundation models for weather and cliamte data understanding.
collection of howto's and code samples to work UH storage solution
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch
pprofile + matplotlib = Python program profiled as an awesome heatmap!
⚡ Open-source Python framework for modelling sequential decision problems in the energy sector