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agu-python-workshop-2019

agu2019-git-demo

Repository to teach git and GitHub

ai-weather-climate

ai4ess-hackathon-2020

ams-ml-python-course

Machine Learning in Python for Environmental Science Problems AMS Short Course Material

ams_ai_shortcourse_2024

Code and documentation for the AMS Short Course: Machine Learning in Python for Environmental Science Problems

awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

bayesian_decomposition

waveformlidar processing with uncertainty estimation using Bayesian

bayesian_optimization_deep_learning

optimized parameters of deep learning using Bayesian optimization

bayesian_uncertainty_lstm

Bayesian, Uncertainty, Neutral Networks, LSTM, time series

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

data-analysis

Data Science Using Python

data_share

daymet-python-opendap-xarray

Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro

delineator

Fast, accurate watershed delineation using hybrid vector- and raster-based methods and data from MERIT-Hydro

dl4es

ensemble-models-ml-dl-

Ensemble models, machine learning, deep learning, optimization

examples

TensorFlow examples

fourcastnet

Initial public release of code, data, and model weights for FourCastNet

geovista

Cartographic rendering and mesh analytics powered by PyVista

geowombat

GeoWombat: Utilities for geospatial data

gmt

The Generic Mapping Tools

graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

hiclimr

Hierarchical Climate Regionalization

hydrodl

hydrosar

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lisf

Land Information System Framework

metpy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

ml_with_python

UVA Research computing workshop for machine learning with Python