Mao-Lin Shen's repositories
BASIC_cases
Cases for BASIC projects
NorESM_cases
NorESM cases
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
CDEPS
Community Data Models for Earth Prediction Systems
CMEPS
NUOPC Community Mediator for Earth Prediction Systems
tvdatafeed
A simple TradingView historical Data Downloader
docker-tutorial
Docker 基本教學 - 從無到有 Docker-Beginners-Guide 教你用 Docker 建立 Django + PostgreSQL 📝
Notes
Just notes
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
vnpy
基于Python的开源量化交易平台开发框架
OpenDA
Open data assimilation toolbox
US_simple_example
Using Lorenz 63 model to explain Universal Synchronizer
subseasonal_forecasting
Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions
shallow-water
Python model solving the shallow water equations (linear momentum, nonlinear continuity)
CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
electron-ssr-backup
electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜
datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
interactive-machine-learning-list
A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites
awesome-explorables
A curated list of awesome explorable explanations.
2D-Navier-Stokes-Solver
As the field of Computational Fluid Dynamics (CFD) progresses, the fluid flows are more and more analysed by using simulations with the help of high speed computers. In order to solve and analyse these fluid flows we require intensive simulation involving mathematical equations which governs the fluid flow, these are Navier Stokes (NS) equation. Solving these equations has become a necessity as almost every problem which is related to fluid flow analysis call for solving of Navier Stokes equation. These NS equations are partial differential equations so different numerical methods are used to solve these equations. Solving these partial differential equations so different numerical methods requires large amount of computing power and huge amount of memory is in play. Only practical feasible way to solve these equation is write a parallel program to solve them, which can then be run on powerful hardware capable of parallel processing to get the desired results High speed supercomputer will provide us very good performance in terms of reduction in execution time. In paper focus will be on finite volume as a numerical method. We will also see what GPGPU (General-Purpose computing on Graphics Processing Units) is and how we are taking its advantages to solve CFD problems.
PPP-Results
All results of applying Prognostic Potential Predictability
scikit-learn
scikit-learn: machine learning in Python
cime
Common Infrastructure for Modeling the Earth
manage_externals
cesm externals management utility
MPI-ESM-Simulations
Simulations details of MPI-ESM
Seasonal2Decadal-Prediction-Scripts-for-ESM
Seasonal2Decadal Prediction Scripts for NorESM
eddyTracking
Code for the detection and tracking of eddies, following Chelton et al. (Prog. Ocean., 2011) given a series of sea level maps.