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100-days-of-ml-code

100 Days of ML Coding

2022_ml_earth_env_sci

Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences

ai4water

framework for developing machine (and deep) learning models for structured data

altoolbox

MATLAB Active Learning Toolbox for Remote Sensing

apex-swat-gw-model

The linked APEX-SWAT-GW model was constructed to transfer variable values between the APEX and SWAT-GW simulation subroutines.The linking of these two models is forced by transferring the PRK (APEX variable) to Wrchrg (SWAT-GW variable).

atlas

Datasets, code and virtual workspace for the Climate Change ATLAS

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-open-hydrology

Curated list of open resources that make our lives as (eco-)hydrologists easier or just more awesome

baseflowconus

Estimating Gridded Monthly Baseflow From 1981 to 2020 for the Contiguous US Using Long Short-Term Memory (LSTM) Networks

biomee-allocation

Codes and data for the paper published in Biogoesiences (Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO2: simulations using an explicitly competitive, game-theoretic vegetation demographic model. https://doi.org/10.5194/bg-16-4577-2019)

cardamom_v2.2

cardamom_v2.3

This repository is a release of the CARDAMOM framework for the publication Norton et al. (2023, https://doi.org/10.5194/egusphere-2022-1265). It includes two model structures of DALEC and the CARDAMOM data assimilation framework to assimilate diverse earth observations.

cas-clumping-index-products

Google Earth Engine JS code produces the global Clumping Index

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

causalml

Uplift modeling and causal inference with machine learning algorithms

cesm

The Community Earth System Model

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

chromium

Chromium browser with SSL VPN. Use this browser to unblock websites.

comda

a software package of ComDA

coursera-machine-learning-stanford

Machine learning-Stanford University

ctsm

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

cwatm

CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at global and regional level.

cyberwaterbeta

CyberWater in Beta version

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

datascience

workshop for data science

datascience-master

Machine Learning, Python, Deep Learning, Linux, Pandas, Matplotlib, Git...

ddpm_ver1.0

Distributed dynamic process model (DDPM) is a bidirectional coupling eco-hydrological model for (but not limited to) steppe inland river basins in arid and semi-arid regions, which is driven by meteorological data and developed by Dr. Mingyang Li and Prof. Tingxi Liu.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dincae

DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.

distributedhbv

Spatially distributed HBV hydrological model