Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
2022_ML_Earth_Env_Sci
Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences
AI4Water
framework for developing machine (and deep) learning models for structured data
altoolbox
MATLAB Active Learning Toolbox for Remote Sensing
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).
ATLAS
Datasets, code and virtual workspace for the Climate Change ATLAS
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-open-hydrology
Curated list of open resources that make our lives as (eco-)hydrologists easier or just more awesome
MO-ASMOCH
rLPJGUESS
A R package that wraps the LPJ-GUESS model
lyh910926's Repositories
lyh910926/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).
lyh910926/ATLAS
Datasets, code and virtual workspace for the Climate Change ATLAS
lyh910926/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.
lyh910926/causalml
Uplift modeling and causal inference with machine learning algorithms
lyh910926/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
lyh910926/CyberWaterBeta
CyberWater in Beta version
lyh910926/DataScience-master
Machine Learning, Python, Deep Learning, Linux, Pandas, Matplotlib, Git...
lyh910926/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.
lyh910926/DistributedHbv
Spatially distributed HBV hydrological model
lyh910926/EASYMORE
EASYMORE; EArth SYstem MOdeling REmapper
lyh910926/glofrim
Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
lyh910926/hipims-ocl
The high-performance integrated modelling system, for hydraulic and hydrological simulations
lyh910926/HydroSight
Groundwater timeseries analysis of hydrographs
lyh910926/HydroSPDB
Streamflow Prediction in (Dammed) Basins (SPDB) with Deep Learning models
lyh910926/Machine-Learning-in-Hydrology
Repository for UNR class GEOL - 701T (Applications of Machine Learning in Hydrology)
lyh910926/metran
Multivariate timeseries analysis using dynamic factor modelling.
lyh910926/MVGC1
The MVGC Multivariate Granger Causality toolbox for Granger-causal inference from time-series data.
lyh910926/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
lyh910926/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
lyh910926/PINNs
PyTorch Implementation of Physics-informed Neural Networks
lyh910926/pyapprox
lyh910926/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.
lyh910926/Python-100-Days
Python - 100天从新手到大师
lyh910926/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
lyh910926/rat_v2
Satellite remote sensing based reservoir operations monitoring
lyh910926/rhodium-swmm
Rhodium-SWMM is a Python library for green infrastructure placement under deep uncertainty.
lyh910926/Satellite_RS_process_module
lyh910926/sciann
Deep learning for Engineers - Physics Informed Deep Learning
lyh910926/SurEau-Ecos
-- SurEau-Ecos_v1.x.x --
lyh910926/SWMM5plus
Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)