ecmwf-lab / ml-training-course
☆18Updated 10 months ago
Alternatives and similar repositories for ml-training-course:
Users that are interested in ml-training-course are comparing it to the libraries listed below
- ☆40Updated 3 years ago
- Stochastic, Recurrent Super-resolution GAN For Downscaling Time-evolving Fields☆66Updated 3 years ago
- Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over Califor…☆13Updated 4 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Command Line Interface to download ERA5 from Copernicus Climate Data Service☆51Updated this week
- Regularized Adversarial Domain Adaptation -- data-driven correction of climate model biases☆11Updated 2 years ago
- Diffusion for climate downscaling☆49Updated 7 months ago
- ☆30Updated 2 years ago
- Simulate SEVIRI satellite channels from WRF output☆18Updated last month
- Implementation of convolutional conditional neural processes for statistical downscaling☆30Updated 3 years ago
- ☆21Updated this week
- ☆21Updated 8 months ago
- Python code to assist in familiarizing meteorologists with machine learning☆58Updated last year
- ☆43Updated this week
- post-processing experiments with neural networks☆61Updated 3 years ago
- A plugin for climetlab to retrieve the Eumetnet postprocessing benchmark dataset.☆31Updated 3 months ago
- GOES-16 Convective Initiation Benchmark☆17Updated 2 years ago
- ☆13Updated last month
- ☆40Updated last month
- Beta for Pangeo Postprocessing☆16Updated 4 years ago
- Clean, easier to use version of the downscaling cGAN☆23Updated 11 months ago
- Ai2 Climate Emulator☆80Updated this week
- Python code to assist in familiarizing meteorologists with machine learning☆29Updated last month
- ☆24Updated 11 months ago
- Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere☆15Updated 2 years ago
- 2021年统计后处理培训教程.☆18Updated 3 years ago
- Uses machine learning to predict convective initiation and decay from satellite data.☆23Updated last year
- Deep learning approaches for statistical downscaling in climate☆71Updated 2 years ago
- Python library for processing ensemble weather forecasts☆24Updated 2 months ago
- Notebooks for CIRA (Cooperative Institute for Research in the Atmosphere) machine-learning short course.☆21Updated 4 months ago