Hy2DL
Hydrological simulator
Develops a framework for simulating complex hydrological processes using machine learning and process-based models
Hybrid Hydrological modeling using Deep Learning methods
19 stars
4 watching
4 forks
Language: Jupyter Notebook
last commit: about 1 year ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A hydrologic model framework using Python and Fortran | 36 |
| | A package for simulating complex groundwater flow and transport in heterogeneous subsurface models | 22 |
| | A framework for developing and applying hydrological models using Python | 40 |
| | A global hydrologic model designed to simulate and analyze water availability at large spatial scales. | 35 |
| | A hydrological model with detailed representation of subgrid variability and parameterization of base flow. | 267 |
| | A water resources modeling framework built in Julia that simulates the behavior of complex hydrological systems. | 42 |
| | A distributed hydrological model that simulates rainfall runoff and balance in water cycles | 8 |
| | A Julia package for simulating hydrological processes in various configurations | 122 |
| | Automates spatial geoscientific model building and analysis from raw data | 76 |
| | Tools for working with US hydrographic data. | 85 |
| | A collection of simulation modules designed to couple with water transport models | 5 |
| | Provides a curated list of Python packages useful in hydrology and related research | 441 |
| | Provides tutorials and training materials for machine learning with H2O, a platform for building predictive models. | 1,484 |
| | A platform providing tools and services for hydrological modeling and data analysis | 37 |
| | A Python package providing access to national hydrologic simulations and gridded model input datasets. | 6 |