lyh910926's repositories

neuromancer

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

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pestpp

tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis

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SWMM5plus

Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)

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Python-100-Days

Python - 100天从新手到大师

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CyberWaterBeta

CyberWater in Beta version

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sciann

Deep learning for Engineers - Physics Informed Deep Learning

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causalml

Uplift modeling and causal inference with machine learning algorithms

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DistributedHbv

Spatially distributed HBV hydrological model

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PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

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EASYMORE

EASYMORE; EArth SYstem MOdeling REmapper

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DataScience-master

Machine Learning, Python, Deep Learning, Linux, Pandas, Matplotlib, Git...

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ATLAS

Datasets, code and virtual workspace for the Climate Change ATLAS

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python-resources-for-earth-sciences

A Curated List of Python Resources for Earth Sciences

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CARDAMOM_v2.3

This repository is a release of the CARDAMOM framework for the publication Norton et al. (2023, https://doi.org/10.5194/egusphere-2022-1265). It includes two model structures of DALEC and the CARDAMOM data assimilation framework to assimilate diverse earth observations.

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SurEau-Ecos

-- SurEau-Ecos_v1.x.x --

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PINNs

PyTorch Implementation of Physics-informed Neural Networks

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HydroSPDB

Streamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models

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HydroSight

Groundwater timeseries analysis of hydrographs

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Machine-Learning-in-Hydrology

Repository for UNR class GEOL - 701T (Applications of Machine Learning in Hydrology)

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chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

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APEX-SWAT-GW-model

The linked APEX-SWAT-GW model was constructed to transfer variable values between the APEX and SWAT-GW simulation subroutines.The linking of these two models is forced by transferring the PRK (APEX variable) to Wrchrg (SWAT-GW variable).

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rhodium-swmm

Rhodium-SWMM is a Python library for green infrastructure placement under deep uncertainty.

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rat_v2

Satellite remote sensing based reservoir operations monitoring

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hipims-ocl

The high-performance integrated modelling system, for hydraulic and hydrological simulations

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metran

Multivariate timeseries analysis using dynamic factor modelling.

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MVGC1

The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.

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glofrim

Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)

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DDPM_ver1.0

Distributed dynamic process model (DDPM) is a bidirectional coupling eco-hydrological model for (but not limited to) steppe inland river basins in arid and semi-arid regions, which is driven by meteorological data and developed by Dr. Mingyang Li and Prof. Tingxi Liu.

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