mr60

mr60's Stars

• kratzert/AGU2018

  Do internals of neural networks make sense in the context of hydrology?

  Language:Python2210

• alejandro-figueroa/EAWAG-SWMM-HEAT

  Repository for the Eawag version of SWMM-HEAT, a thermal-hydrological model to simulate heat- and hydraulic processes in sewers.

  Language:C2

• PacktPublishing/Deep-Learning-with-TensorFlow-2.0-in-7-Steps

  Learn image classification and language modeling

  Language:Jupyter Notebook3228

• Jiadalee/EAWAG-SWMM-HEAT

  Repository for the Eawag version of SWMM-HEAT, a thermal-hydrological model to simulate heat- and hydraulic processes in sewers.

  1

• ThibHlln/hydroeval

  An evaluator for streamflow time series in Python

  Language:Python5213

• dougcallaway/yelp-restaurants-GWR

  Geographic Weighted Regression analysis of Yelp restaurant data

  Language:Jupyter Notebook11

• pansycecilia/swmm-lid-gw-51012

  This is a modified SWMM model which enables considering groundwater table depth in the simulation of LID by Kun Zhang coded by 2018

  Language:C1

• tscheuch/ACOPLE_SWMM_MODFLOW_VER

  Language:Jupyter Notebook1

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.5k1.8k

• lsmatott/ostrich-swmm

  A toolset for connecting the OSTRICH optimization software toolkit with the SWMM simulation model.

  Language:Python3219

• Oslandia/qgis-swmm

  Project migrated to : https://gitlab.com/Oslandia/qgis/qgis-swmm

  Language:Python3419

• gee-community/geemap

  A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

  Language:Python3.4k1.1k

• Jiadalee/LandPy

  Using random foresct and suppor vector machine to classify the aerial land-cover images

  Language:Jupyter Notebook2

• Jiadalee/ClusteringDrain

  These codes are for testing the clustering algorithms' peformance in grouping time-series water depth data of urban drainage systems

  Language:Jupyter Notebook2