Multicore! Faster!
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Updated
Jul 16, 2021 - Python
Multicore! Faster!
Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models
Python tool for downsizing Microsoft PowerPoint presentations (pptx) files.
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.
Code repository associated with "Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification" (Getter, Bessac, Rudi, Feng).
Statistical climate downscaling in Python
Scale down Kubernetes deployments after work hours
Scale down / "pause" Kubernetes workload (Deployments, StatefulSets, and/or HorizontalPodAutoscalers and CronJobs too !) during non-work hours.
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
Diffusion for climate downscaling
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