paulo-o / forecast_rodeoLinks
☆38Updated 6 years ago
Alternatives and similar repositories for forecast_rodeo
Users that are interested in forecast_rodeo are comparing it to the libraries listed below
Sorting:
- Neural network loss functions for regression and classification tasks that can say "I don't know".☆13Updated 3 years ago
- Tutorials for basic analysis of CMIP6 climate models on the Google Cloud Platform.☆73Updated 5 years ago
- Deep learning for climate modeling.☆40Updated 6 years ago
- El nino forecast based on a few machine learning methods☆24Updated 8 years ago
- Python for Climate and Meteorological Data Analysis and Visualisation☆21Updated 6 years ago
- A beginner's guide to carry out extreme value analysis, which consists of basic steps, multiple distribution fitting, confidential interv…☆58Updated 7 years ago
- climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge☆36Updated last year
- Deep Semi-Supervised Object Detection for Extreme Weather Events☆58Updated 8 years ago
- ☆14Updated 5 years ago
- ☆10Updated 4 years ago
- Research and experiments for downscaling climate/weather data via generative learning☆34Updated 3 years ago
- Generalized Analog Regression Downscaling (GARD) code☆34Updated last year
- a benchmark dataset for training and evaluating global cloud classification models.☆29Updated 2 years ago
- NinoLearn is a research framework for statistical ENSO prediction.☆10Updated 5 years ago
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- Climate Analytics using Deep Neural Networks in Python.☆62Updated last year
- Tool using python and cdo to apply daily climate downscaling with BCSD.☆34Updated 3 years ago
- Multiple linear regression from Statsmodels library coupled with Xarray library☆14Updated 6 years ago
- ☆16Updated 3 years ago
- Code for neural network parameterization project☆74Updated 5 years ago
- A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.☆14Updated 2 years ago
- A python course intended to provide a thorough grounding for those working in the earth sciences☆35Updated 7 years ago
- Profile Classification Modelling (PCM) is an ocean data analysis method based on un-supervised classification of vertical profiles☆21Updated 6 years ago
- post-processing experiments with neural networks☆62Updated 3 years ago
- ☆10Updated 3 years ago
- A simple way to evaluate Copernicus Climate Change (C3S) seasonal forecasts monthly data☆13Updated 3 years ago
- pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python☆43Updated 3 years ago
- Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset 0☆47Updated 7 years ago
- Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.☆33Updated 2 years ago
- Using optical flow & machine learning to predict PV yield☆53Updated 2 years ago