Irshad Ansari (Irshad15)

Irshad15

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HydroData

An R 📦 for finding and getting geospatial earth systems data

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rhydro_EGU19

Using R in Hydrology - EGU2019 Short Course

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dataRetrieval

This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.

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geneticalgorithm

Genetic Algorithm Package for Python

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summa

Structure for Unifying Multiple Modeling Alternatives:

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HOOPLA

HOOPLA (HydrOlOgical Prediction LAboratory) is a framework providing a modular system for lumped hydrological modeling.

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GRIP-E

Great Lakes Runoff Inter-comparison Project for Lake Erie GRIP-E

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PieShareDistribution

Method to transform uniform random numbers that sum up to 1 and are identically distributed: The PieShareDistribution

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EEE

Efficient Elementary Effects (EEE) for computationally inexpensive identification of noninformative model parameters by sequential screening

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git_for_R

Presentation on using git/GitHub with R

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thesisdown

An updated R Markdown thesis template using the bookdown package

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tRaining

Training resources for R

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blendedmodel_update_2022

Setup and results for study updating the blended model

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CppCoreGuidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

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QRaven

A QGIS Plugin for Raven

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pyHMT2D

Python Hydraulic Modeling Tools - 2D

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Basin-Delineation

An R library for rapid watershed delineation

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RavenHydroFramework

repository for the Raven Hydrological Modelling Framework developed at the University of Waterloo

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SAXS-guidedAdaptiveSampling

Python implementation of Markov state model-based adaptive sampling guided by SAXS and hybrid information.

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pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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pySOT

Surrogate Optimization Toolbox for Python

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gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

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pyMultiobjective

A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA III

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nsga2-in-python

Implementation of NSGA-II in Python

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NSGA-II

Implementation of Non-dominated Sorting Genetic Algorithm (NSGA-II), a Multi-Objective Optimization Algorithm in Python

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global_optimization

Heuristic global optimization algorithms in Python

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smt

Surrogate Modeling Toolbox

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Surrogate_Optimization

A step-by-step guide for surrogate optimization using Gaussian Process surrogate model

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