theearnest Goto Github PK

markdown-syntax-zhtw

Markdown 語法說明中文版

model-training-sumo-

Model Training (SUMO)

mpi-esm-simulations

Simulations details of MPI-ESM

noresm_cases

NorESM cases

notes

Just notes

oce

R package for oceanographic processing

oceanography-numerical-calculations

海洋要素计算程序

open-assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

openda

Open data assimilation toolbox

potential-predictability

For calculating PPP on nostore-osl

ppp-results

All results of applying Prognostic Potential Predictability

pybo

Python package for modular Bayesian optimization

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

quark

World's first offline search engine. The Internet cannot stop us from learning. 世界上第一個離線搜索引擎。互聯網不能阻止我們學習。

raincpc

Obtain and Analyze Rainfall data from the Climate Prediction

scikit-learn

scikit-learn: machine learning in Python

seasonal-prediction

Why can't we predict the tropic Atlantic SST well on seasonal time scale?

seasonal2decadal-prediction-scripts-for-esm

Seasonal2Decadal Prediction Scripts for NorESM

seasonal2decadal-prediction-skill-evaluation

Seasonal2Decadal Prediction Skill Evaluation

shallow-water

Python model solving the shallow water equations (linear momentum, nonlinear continuity)

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

stercp_experiments

stochasticprecipitation

R code for generating stochastic precipitation from daily observations using the modified Wilks approach of Mhanna and Bauwens (2012)

stoqs

STOQS (Spatial Temporal Oceanographic Query System) is a geospatial database software package designed to provide efficient access to in situ oceanographic measurement data.

subseasonal_forecasting

Using a hybrid spatial-temporal deep learning approach to forecast subseasonal weather across 514 Western USA geographical regions

syl_example

syllabus for the Advanced JavaScript class at NYU

tvdatafeed

A simple TradingView historical Data Downloader

using-python

學習如何使用 Python 程式語言 (exported from Google code)

us_simple_example

Using Lorenz 63 model to explain Universal Synchronizer

vnpy

基于Python的开源量化交易平台开发框架