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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.

cbrain-cam

Code for neural network parameterization project

climate-machine-learning

Machine Learning Based Climate Downscaling Method

climate4r

An R Framework for Climate Data Access and Post-processing

climate_indices

Climate indices for drought monitoring, community reference implementations in Python

climate_tutorial

climpact

Calculate the ET-SCI climate extremes indices

climpact2

Combining climdex.pcic and climpact @ UNSW

climt

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

cmaps

user defined colormaps in matplotlib.

cmip6-downscaling

Climate downscaling using CMIP6 data

cmip6-downscalling

Pipeline for statistical downscaling of earth system model output

cmip6_preprocessing

Analysis ready CMIP6 data in python the easy way with pangeo tools.

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.

cvpr2024-papers-with-code

CVPR 2024 论文和开源项目合集

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

data-analysis-with-python

Material for a short course introducing how to do data science with Python and Jupyter

deepdownscaling

Deep learning approaches for statistical downscaling in climate

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

downscalecmip6

Tools for downscaling gridded data using xarray

downscaler

An R package for climate data bias correction and downscaling (part of the climate4R bundle)

drought-index-flow-accumulation

A GUI tool in python to estimate Standardised Precipitation Index (SPI) using time prediction analysis of rainfall and drainage data. Also estimating flow accumulation in a catchment.

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

grammercheck

how-to-write-makefile

跟我一起写Makefile重制版

hurst

Hurst exponent evaluation and R/S-analysis in Python

hydrograph-py

Tools for separating hydrograph in baseflow and peak flow, and extreme value analyses

hydromodel

新安江水文模型

iha

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

intensity_duration_frequency_analysis

heavy rain as a function of the duration and the return period