Cambridge-ICCS / practical-ml-with-pytorchLinks
Training material on writing machine learning code with PyTorch by ICCS
☆35Updated 3 weeks ago
Alternatives and similar repositories for practical-ml-with-pytorch
Users that are interested in practical-ml-with-pytorch are comparing it to the libraries listed below
Sorting:
- Package for fitting Gaussian Process Emulators to multiple output computer simulation results.☆52Updated last year
- Easy emulating of geophysical models including (but not limited to!) Earth System Models.☆59Updated 7 months ago
- ☆21Updated last year
- High Performance Computing for Weather and Climate☆42Updated this week
- ☆38Updated 4 years ago
- explore the FV3 data for parameterization☆17Updated 9 months ago
- Simple examples of data pipelines from xarray to ML training☆22Updated 5 years ago
- Python package based on PyTorch and Dask for efficient and parallelized data assimilation of weather model data and observations on GPUs.☆14Updated 7 months ago
- Collection of Python scripts and notebooks to demonstrate plotting on the ICON grid.☆17Updated 10 months ago
- The official repository for "The impact of internal variability on benchmarking deep learning climate emulators" in JAMES25 (public)☆19Updated last week
- Lightweight library for probabilistic forecast evaluation and optimization.☆63Updated last month
- Jatmos is a scalable simulator for atmospheric dynamics, written in JAX.☆30Updated 5 months ago
- Simple differentiable approximate ocean models built with JAX.☆16Updated last year
- Lorenz 1996 two time-scale model for learning machine learning☆56Updated 2 weeks ago
- A single column model of atmospheric boundary layer turbulence and clouds☆14Updated 5 years ago
- How to predict extreme events in climate using rare event algorithms and modern tools of machine learning☆22Updated 6 months ago
- ML Datasets Catalog☆58Updated 2 years ago
- Python code for "Applications of Deep Learning to Ocean Data Inference and Sub-Grid Parameterisation" (https://doi.org/10.1029/2018MS0014…☆49Updated 6 years ago
- Making it far easier to read in and work with large volumes of climate model output from CMIP5/6☆21Updated 4 years ago
- Subseasonal forecasting models☆55Updated 8 months ago
- Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. …☆11Updated 5 years ago
- ☆22Updated last month
- Code for neural network parameterization project☆19Updated last year
- Fast domain-aware neural network emulation of a planetary boundary layer parameterization in a numerical weather forecast model☆12Updated 6 years ago
- Python codes for studying predictability and data assimlation with a surface quasi-geostrophic turbulence model☆35Updated 6 months ago
- ☆58Updated last year
- Experiments demonstrating coupled online learning for machine learning parameterizations☆22Updated 2 years ago
- Jupyter notebook tutorials on various machine learning topics☆25Updated 7 months ago
- Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation☆35Updated 2 years ago
- Literature and light wrappers for gaussian process models.☆48Updated 4 years ago