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jasa-acs / 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
Detection and Attribution framework in python using the Optimal Fingerprinting Approach (Hasselmann, 1993; Ribes et al. 2013)
Codes to represent irrigation, GW pumping and paddy fields in WRF-CLM4
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 fre…
Integrated code of SCOPE and STEMMUS
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 …
This package implements The Nature Conservancy's Indicators of Hydrologic Alteration software in Python
The official home of climt, a Python based climate modelling toolkit.
VIC-ResOpt: Optimizing water reservoir Operations in the Variable Infiltration Capacity model
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
A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
A tool to download whole playlists, channels or single videos from youtube and also optionally convert them to almost any format you would like
a Python toolbox for the RAPID (Routing Application for Parallel computatIon of Discharge) model.
Approaching (Almost) Any Machine Learning Problem
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
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
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
深度学习入门教程, 优秀文章, Deep Learning Tutorial
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Understanding Deep Learning - Simon J.D. Prince
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.
HRLDAS (High Resolution Land Data Assimilation System)
rabramoff / Millennial
Forked from email-clm/MillennialThis is a repository for the newly developed Millennial model