nram812 / On-the-Extrapolation-of-Generative-Adversarial-Networks-for-downscaling-precipitation-extremesView on GitHub
Code for manuscript titled: "On the Extrapolation of Generative Adversarial Networks for downscaling precipitation extremes in warmer climates"
☆10Apr 6, 2025Updated last year
Alternatives and similar repositories for On-the-Extrapolation-of-Generative-Adversarial-Networks-for-downscaling-precipitation-extremes
Users that are interested in On-the-Extrapolation-of-Generative-Adversarial-Networks-for-downscaling-precipitation-extremes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for paper "A Robust Generative Adversarial Network Approach for Climate Downscaling"☆14Sep 13, 2024Updated 2 years ago
- A non-exhaustive list of open resources to help environmental scientists get started with machine learning☆23May 22, 2025Updated last year
- Python functions for climate data downscaling with Deep Learning☆13Jul 8, 2026Updated 3 months ago
- ☆21Jul 31, 2026Updated 3 months ago
- Diffusion Probabilistic Downscaling Model☆32Jul 8, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Adaptation of PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations for emulating high res…☆23Sep 16, 2026Updated last month
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆37Jul 21, 2025Updated last year
- Deep learning approaches for statistical downscaling in climate☆74Jul 1, 2022Updated 4 years ago
- ☆40Sep 12, 2025Updated last year
- Deep-learning Based Climate Downscaling of Precipitation Data☆15Aug 13, 2026Updated 2 months ago
- CORDEX Machine Learning benchmark☆48Aug 17, 2026Updated 2 months ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆102Feb 25, 2025Updated last year
- This page reviews and organizes emerging hybrid Earth System Models (ESMs), which combine machine learning and physics-based components.☆66Oct 13, 2025Updated last year
- ☆10Feb 13, 2025Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆19Feb 13, 2024Updated 2 years ago
- (Semi-official) repository of "Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain".☆20May 29, 2021Updated 5 years ago
- ☆10May 26, 2026Updated 5 months ago
- ☆12Jul 13, 2022Updated 4 years ago
- Source code of Statistical Computing 2 website☆12Feb 6, 2023Updated 3 years ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆27May 12, 2023Updated 3 years ago
- PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)☆11Nov 25, 2022Updated 3 years ago
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆18Oct 5, 2024Updated 2 years ago
- A quarto extension for writing teaching practicals☆14Sep 21, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Clean, easier to use version of the downscaling cGAN☆25Feb 26, 2024Updated 2 years ago
- A simple, efficient, mass conservative approach to solving Richards’ Equation☆28Nov 16, 2025Updated 11 months ago
- A 1D Richards Equation solver written in python☆24Dec 19, 2019Updated 6 years ago
- ☆12Oct 29, 2024Updated 2 years ago
- R package for Multiresolution Approximations of Spatiotemporal Gaussian Processes☆11Apr 6, 2022Updated 4 years ago
- Monthly air passengers and landings at San Francisco International Airport (SFO)☆12Mar 16, 2023Updated 3 years ago
- ☆12Dec 4, 2024Updated last year
- 学习Python地理空间分析代码。☆23Mar 13, 2020Updated 6 years ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆32Jun 4, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Dynamical downscaling of NORA3 wave hindcast☆30Oct 22, 2026Updated last week
- Apply machine learning to predict climate variables into the future and transform low-resolution outputs of climate models into high-reso…☆15Jun 12, 2024Updated 2 years ago
- Probabilistic Downscaling of Climate Variables Using Denoising Diffusion Probabilistic Models☆28Apr 18, 2022Updated 4 years ago
- Download any data from https://cds.climate.copernicus.eu/datasets faster using parallel processing. Climate Data Store/ Copernicus websit…☆19Jan 9, 2026Updated 9 months ago
- Awesome-AI4Earth: a curated list of machine learning in Earth System, especially for weather and climate.☆14Dec 27, 2023Updated 2 years ago
- Arbitrary Distribution Modeling with Censorship in Real Time Bidding Advertising for KDD'22☆16Mar 9, 2022Updated 4 years ago
- R Package With Shiny App: Permit to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model☆20Aug 24, 2025Updated last year