NREL / PhIRELinks
☆65Updated 2 years ago
Alternatives and similar repositories for PhIRE
Users that are interested in PhIRE are comparing it to the libraries listed below
Sorting:
- Spatio-Temporal Downscaling of Climate Data using Convolutional and Error-Predicting Neural Networks☆23Updated 4 years ago
- ☆35Updated 2 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆94Updated 10 months ago
- post-processing experiments with neural networks☆63Updated 4 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆73Updated 4 years ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated 2 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆96Updated last year
- Deep learning approaches for statistical downscaling in climate☆74Updated 3 years ago
- ML Datasets Catalog☆60Updated 2 years ago
- ☆110Updated last year
- DeepSD Super-resolution for Climate Downscaling in KDD 2017☆96Updated 3 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆37Updated 2 years ago
- ☆40Updated 4 years ago
- MILES Community Research Digital Intelligence Twin (CREDIT): research platform for AI numerical weather prediction models.☆70Updated this week
- A collection aiming to bring all the amazing work of Deep Learning for Climate Super-res together.☆105Updated 10 months ago
- Climate Analytics using Deep Neural Networks in Python.☆66Updated 2 years ago
- ☆36Updated 4 months ago
- ☆60Updated this week
- Brian's python workshop, where he keeps his tools, paint, and anything else useful.☆40Updated 3 months ago
- Research and experiments for downscaling climate/weather data via generative learning☆38Updated 3 years ago
- 🌦️ A catalogue and categorization of AI-based weather forecasting models.☆137Updated 8 months ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆32Updated last month
- Flexible and user-friendly toolkit for the bias correction of climate models and associated evaluation.☆70Updated 2 months ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆20Updated 3 years ago
- Software for training, running and analyzing a Deep Learning Earth System Model (DLESyM)☆24Updated last week
- Beta for Pangeo Postprocessing☆18Updated 5 years ago
- Clean, easier to use version of the downscaling cGAN☆25Updated last year
- TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…☆63Updated last month
- Ai2 Climate Emulator: fast machine learning models for weather and climate prediction☆166Updated this week
- Code for neural network parameterization project☆76Updated 5 years ago