Aoe-sdh

Aoe-sdh's starred repositories

Toward-Optimal-Fingerprinting-in-Detection-and-Attribution-of-Changes-in-Climate-Extremes

Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes, by Zhuo Wang, Yujing Jiang, Hui Wan, Jun Yan, Xuebin Zhang

900

PyDnA

Detection and Attribution framework in python using the Optimal Fingerprinting Approach (Hasselmann, 1993; Ribes et al. 2013)

Language:Python3500

WRF_CLM4_Irrigation

Codes to represent irrigation, GW pumping and paddy fields in WRF-CLM4

Language:Fortran400

This repository includes NCL scripts that can be used to post-processing WRF outs, including but not limited to spatial plots, write WRF outputs to csv files, and time-height plots. Please feel free to contact Xia Sun (emsunxia@gmail.com) if you have any questions. I would happy to help.

Language:NCL500

hydromodel

新安江水文模型

Language:PythonGPL-3.015500

STEMMUS_SCOPE

Integrated code of SCOPE and STEMMUS

Language:Jupyter NotebookGPL-3.01400

hydroDL

Language:PythonNOASSERTION18200

intensity_duration_frequency_analysis

heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_n <= 100a'

Language:PythonMIT3700

IHA

This package implements The Nature Conservancy's Indicators of Hydrologic Alteration software in Python

Language:Jupyter NotebookGPL-3.0300

climt

The official home of climt, a Python based climate modelling toolkit.

Language:FortranNOASSERTION15900

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

1745400

VICResOpt

VIC-ResOpt: Optimizing water reservoir Operations in the Variable Infiltration Capacity model

Language:C3100

CWatM

Community Water Model (CWatM) is a hydrological model simulating the water cycle daily at global and local levels, historically and into the future, maintained by IIASA’s Water Security group

Language:Jupyter NotebookGPL-3.06800

RHESSys

The Regional Hydro-Ecologic Simulation System

Language:C8700

STLDecompose

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

Language:Jupyter NotebookMIT18000

YoutubePlaylistDownloader

A tool to download whole playlists, channels or single videos from youtube and also optionally convert them to almost any format you would like

Language:C#Apache-2.0137800

python-toolbox-for-rapid

a Python toolbox for the RAPID (Routing Application for Parallel computatIon of Discharge) model.

Language:PythonApache-2.01700

approachingalmost

Approaching (Almost) Any Machine Learning Problem

709700

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

MIT114000

DeepLearning-500-questions

Language:JavaScriptGPL-3.05403400

DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Language:PythonMIT628100

DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Language:Jupyter NotebookApache-2.01376800

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Language:PythonMIT241900

udlbook

Understanding Deep Learning - Simon J.D. Prince

Language:Jupyter NotebookNOASSERTION591300

mkmf

Language:MakefileNOASSERTION1000

PyMake

A Makefile generator in Python

Language:PythonNOASSERTION2500

how-to-write-makefile

跟我一起写Makefile重制版

Language:Python335200

CVAE-GAN-zoos-PyTorch-Beginner

For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.

Language:Python68400

hrldas

HRLDAS (High Resolution Land Data Assimilation System)

Language:Jupyter NotebookNOASSERTION5100

Millennial

This is a repository for the newly developed Millennial model

Language:RMIT1100