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2020_resbaz_python

aquacrop

AquaCrop-OSPy: Python implementation of AquaCrop-OS

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

bety

Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

bmi-tutorial

bonanmodeling

Matlab code for Climate Change and Terrestrial Ecosystem Modeling

caada

Repository of code to agglomerate AQ-relevant COVID data

climpred

:earth_americas: an xarray wrapper for analysis of ensemble forecast models for climate prediction :earth_africa:

commscimtg_nov23

Materials and Resources for the Community Science Meeting of November 2023

corems

CoreMS is a comprehensive mass spectrometry software framework

ctsm

Community Terrestrial Systems Model (includes the Community Land Model of CESM)

ctsm-tutorial

CTSM Tutorial Materials

ctsm_containers

A work-in-progress repository for developing builds of the CTSM and CLM-FATES models

dart

Data Assimilation Research Testbed

e3sm

Energy Exascale Earth System Model source code.

eddy4r

efistandards

Exploring possible metadata and data formatting standards for comparing Ecological Forecasts

emp

Code repository of the Earth Microbiome Project.

esds-github-sandbox

Sandbox repository for the Python & Git Tutorial during the 2024 ESDS Annual Event

ggplot-viz

Materials from my ggplot workshop, ResBaz 2020

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

modflow6

MODFLOW 6 Repository

modflowapi

python package for the MODFLOW API

ncar-neon

Repository for developing code related to NCAR-NEON workshop

ngen

Next Generation Water Modeling Engine and Framework Prototype

pinn_workshop_ciroh

pykrev

FT-MS data analysis with Python

resbaz2020

Presentation for UA ResBaz 2020

resbaz_ml_workshop_r

A repo for the newly retooled Introduction to Machine Learning in R with tidymodels for the 2020 UA Research Bazaar

scikit-explain

A user-friendly python package for computing and plotting machine learning explainability output.