geoai4globalchange Goto Github PK

attribution

bonanmodeling

Matlab code for Climate Change and Terrestrial Ecosystem Modeling

captum

Model interpretability and understanding for PyTorch

causal-inference-and-machine-learning-for-earth-system-science

applications of causal inference and machine learning on earth system

clm-ml_v1

CLM-ml_v1 source code

ctsm

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

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

fali

FaLi's personal website

fali2

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

fire_limitation

Bayesian parameterisation of the Kelley et al. global fire limitation model

firemodeling

AI model for interpretable fire prediction with consideration of climate history dynamics

hector

The Hector Simple Climate Model

methane

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pymc

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

readme

README文件语法解读，即Github Flavored Markdown语法介绍

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

shap

A unified approach to explain the output of any machine learning model.

spatial-statistics

The repository contains methods and applications of spatial-statistics, like Fast and Adaptive Kernel Density Estimation for Hundreds of Millions of points

teaching