WeiLinxiao

WeiLinxiao's Stars

• Luolc/AdaBound

  An optimizer that trains as fast as Adam and as good as SGD.

  Language:Python2.9k7225330

• secdr/research-method

  论文写作与资料分享

  2.3k532549

• yingkaisha/keras-unet-collection

  The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

  Language:Python6541365182

• AlexanderChen-Real/Awesome-ChatGPT-Chinese

  ChatGPT中文资料库：为了帮助广大的中文开发者和学习者更好地理解和运用OpenAI的ChatGPT技术而创建的。我们会在这个仓库中持续更新有关ChatGPT的教程，工具介绍，中文资料，包括但不限于工具使用教程、资料，论文、应用实例和ChatGPT社区等。

  37510043

• royalosyin/Python-Practical-Application-on-Climate-Variability-Studies

  This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

  Language:Jupyter Notebook235137130

• lucidrains/metnet3-pytorch

  Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch

  Language:Python1985325

• huangzq681/YRB_heatwave_2023

  Python code and Jupyter notebooks support the manuscript "Relative contributions of large-scale atmospheric circulation dynamics and anthropogenic warming to the unprecedented 2022 Yangtze River Basin Heatwave" by Zeqin Huang et al.

  Language:Jupyter Notebook16101

• yingkaisha/rainbow

  The official repository of my Ph.D. dissertation.

  Language:Jupyter Notebook7200

• AndreasPrein/Thunderstorm_Downbursts_Climate_Change

  This repository contains code that was used to analyze and visualize data for the paper "Intensification of Thunderstorm Downbursts with Climate Change" by Prein

  Language:Jupyter Notebook6201

• ClimateIndicator/anthropogenic-warming-assessment

  Language:Python6100

• Hydroclimate2023/global-flash-drought

  the code for identify flash and slow drought

  Language:Fortran6203

• LinHai-debug/CLIMEA-BCUD-code

  Code for CLIMEA-BCUD

  Language:Python510

• bibivking/Heatwave

  scripts to analyze heatwaves

  Language:NCL320

• wuyt09/scripts

  Language:Fortran3004

• ACCESS-NRI/ESMValTool-workflow

  Language:Jupyter Notebook261841

• MetLab-HKUST/SDD

  Codes for smart dynamical downscaling (SDD)

  Language:NCL2100

• WeiLinxiao/gpt_academic

  为GPT/GLM提供图形交互界面，特别优化论文阅读润色体验，模块化设计支持自定义快捷按钮&函数插件，支持代码块表格显示，Tex公式双显示，新增Python和C++项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持清华chatglm等本地模型。兼容复旦MOSS, llama, rwkv, 盘古等。

  Language:Python1000