andregraubner / ClimateNet
Climate Analytics using Deep Neural Networks in Python.
☆62Updated last year
Alternatives and similar repositories for ClimateNet:
Users that are interested in ClimateNet are comparing it to the libraries listed below
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- ML Datasets Catalog☆57Updated last year
- machine learning for the atmospheric sciences - a CSU course☆32Updated last year
- Ai2 Climate Emulator☆87Updated last month
- Beta for Pangeo Postprocessing☆16Updated 4 years ago
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- Code for neural network parameterization project☆74Updated 4 years ago
- ☆111Updated 3 years ago
- A dataset plugin for climetlab for the dataset maelstrom-a1☆12Updated last year
- Data access package for the SubseasonalClimateUSA dataset☆29Updated 4 months ago
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- ☆14Updated 4 years ago
- This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting".☆38Updated 4 months ago
- ☆33Updated last year
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 5 months ago
- Python code to manage ERA5 downloads at NCI☆32Updated 3 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆20Updated last month
- ☆40Updated 3 years ago
- Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistica…☆90Updated 7 months ago
- Deep Learning for Post-Processing Ensemble Weather Forecasts☆92Updated last year
- Lorenz 1996 two time-scale model for learning machine learning☆50Updated last month
- ☆89Updated 10 months ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- prototype of a system that provide local climate information☆35Updated this week
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 2 years ago
- TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection a…☆59Updated last month
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆82Updated 3 weeks ago
- End-to-end machine-learning library for predicting thunderstorm hazards.☆34Updated last month
- post-processing experiments with neural networks☆61Updated 3 years ago