zhonghua-zheng

CUPiD

CUPiD is a “one stop shop” that enables and integrates timeseries file generation, data standardization, diagnostics, and metrics from all CESM components.

awesome-high-performance-computing

A curated list of awesome high performance computing resources

miles-guess

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

LLM4TS

Large Language Models for Time Series.

jasmin-community

Discussion forum for JASMIN user community

uiuc-atmos-computing

Repository for documentation for computing within the Department of Climate, Meteorology & Atmospheric Sciences at the University of Illinois

openai-cookbook

Examples and guides for using the OpenAI API

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

echo-opt

Earth Computer Hyperparameter Optimization

awesome-gee-community-datasets

Community Datasets added by users and made available for use at large

Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

dask-tutorial

NCAR/CISL Dask tutorial (Spring 2023)

awesome-active-learning

A curated list of awesome Active Learning

2022_ML_EES

Course repository for "Machine Learning for Earth and Environmental Sciences" (UNIL, FGSE, Fall 2022)

latexify_py

A library to generate LaTeX expression from Python code.

aws-open-data-geo

A list of open geospatial datasets on AWS

awesome-causality-algorithms

An index of algorithms for learning causality with data

Book-Code

Code of exercises and content of the associated printed book

dsi_india_miss_data

CTSM

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

awesome_lists

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

awips2

Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.

DEES_programming_course

The course material for the programming course in DEES, University of Manchester

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

interpret

Fit interpretable models. Explain blackbox machine learning.

GEE_lecture

hagelslag

Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.

cs-self-learning

计算机自学指南

course_ml_ats

machine learning for the atmospheric sciences - a CSU course

ml_tutorial_csu

material for the CSU-led machine learning tutorial for earth science research