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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

ab_cattle

Agent-based model cattle and disease model from Shiflet & Shiflet (2014)

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

anda

¡AnDA! is a Python library for the Analog Data Assimilation.

aoslib

A collection of standard atmospheric and oceanic sciences routines.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awips2

AWIPS is a weather forecasting display and analysis package developed by the National Weather Service and Raytheon, and released as open source software by Unidata.

axel

Lightweight CLI download accelerator

best

Bayesian estimation supersedes the t test

bpem

A Barotropic Primitive Equation Model

bufrpy

Pure-Python BUFR decoding library

cf-plot

cf-plot - contour, vector and line plots for climate scientists

climate

2d and 3d DNS for cloud entrainment and mixing process using particle model

climatereconstructionai

Software to train climate reconstruction technology (image inpaiting with partial convolutions) with numerical model output to re-fill missing values in observational datasets like HadCRUT4

cm1_dart

A set of Python scripts to facilitate running OSSE ensemble experiments using the CM1 model and the DART data assimilation package

cmaps

user defined colormaps in matplotlib.

cmaq

Code base for the U.S. EPA’s Community Multiscale Air Quality Model (CMAQ). For additional background on CMAQ please visit: www.epa.gov/CMAQ

cmaqsatproc

Satellite Processors Designed for CMAQ

cnmaps

这是一个可以让**地图画起来更丝滑的python扩展包

coastal-stories

GEO Hack Solution

code-ncl

code-old

code-python

code_global_ms

colm202x

The Common Land Model

course_files

Course files for my textbook "A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences" (2012, First Edition)

coursera-machine-learning

:100:Answers for the programming assignments in Coursera Machine Learning courses

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cressman_fortran