zhangy-u,github

climada_python

Python (3.8+) version of CLIMADA

cme_ncomms_2020

Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Communications (2020), https://doi.org/10.1038/s41467-020-15195-y

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

fastbook

The fastai book, published as Jupyter Notebooks

geopandas

Python tools for geographic data

github-slideshow

A robot powered training repository :robot:

lstm

基于LSTM的时间序列预测研究

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-tutorial-1

Build your neural network easy and fast, 莫烦Python中文教学

realstorms

Storm tracks for Real Projections

rgcpd

Climate analysis toolbox to investigate teleconnections, test for causality, and make forecasts.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

wind-energy-analysis-and-forecast-using-deep-learning-lstm

A Deep Learning model that predict forecast the power generated by wind turbine in a Wind Energy Power Plant using LSTM (Long Short Term Memory) i.e modified recurrent neural network.

windpowerdataprocessing

风力发电非常环保，且风能蕴量巨大，因此日益受到世界各国的重视。但是对于实际采集到的测风数据及功率数据都存在各种各样的问题，需要有准确的实测数据来分析风电特征及发电规律而且从风场收集到的数据中通常包含异常数据点，造成计算机进行数据筛选和排序的速度比较慢，因此需要可靠有效的风电数据处理方法来筛选合理有效的数据以进行风电功率预测建模。

youtube-blog

Codes to complement YouTube videos and blog posts on Medium.

youtube-dl

Command-line program to download videos from YouTube.com and other video sites

zhangy-u

Config files for my GitHub profile.

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