Contributors: Mads R. B. Kristensen
Name: Mads R. B. Kristensen
Login: madsbk
Email: madsbk@gmail.com
Website: https://rapids.ai/
Location: Denmark
Company: NVIDIA
Repositories count: 49
Last synced at: 2024-06-11T15:36:24.768Z
Total stars: 2
Followers: 28
Following: 2
OST Projects: 2
Languages: Python
Categories: Climate Change, Hydrosphere
Sub Categories: Climate Data Standards, Ocean Circulation Models, Ocean Models
Topics: climate, distributed, geophysics, jax, multi-core, oceanography, parallel, compressed, ndimensional-arrays, zarr, nvidia, pydata, opencl, parallel-computing, arrow, cudf, dataframe, rapids, memory-allocation, memory-management, llvm, autograd, tensor, asynchronous, distributed-computing, gbdt, gbm, gbrt, xgboost
Contributed Projects
Zarr
Provides an efficient, scalable, and flexible way to store and access large, multi-dimensional arrays, the core data format used in climate models and observational datasets.
compressed ndimensional-arrays python zarr
Climate Change - Climate Data Standards - Last synced: 03 Jun 2026 - Ranking: 29.4
Veros
Powerful tool that makes high-performance ocean modeling approachable and fun.
climate distributed geophysics gpu jax multi-core oceanography parallel python
Hydrosphere - Ocean Models - Last synced: 03 Jun 2026 - Ranking: 13.6
