ram-sridhar Goto Github PK
Name: Rama Sesha Sridhar Mantripragada
Type: User
Company: IBSS
Bio: I work for IBSS as a Physical Scientist.
Location: Silver Spring, Maryland
Name: Rama Sesha Sridhar Mantripragada
Type: User
Company: IBSS
Bio: I work for IBSS as a Physical Scientist.
Location: Silver Spring, Maryland
Advanced Deep Learning with Keras, published by Packt
Intraseasonal air-sea interaction diagnostics (DeMott et al. 2016 JGR)
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
A python library for visualizing Artificial Neural Networks (ANN)
Datasets, code and virtual workspace for the Climate Change ATLAS
Course material for ATS 655: Objective Analysis with Prof. Elizabeth Barnes, Dept. of Atmospheric Science, Colorado State University.
Source code for 100+ books, kept here for quick reference
Climate Data Science and Earth Observation with Python.
Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017
Examples of CMIP6 cloud data analysis with Pangeo
Predicting weather by machine learning.
Anomaly budget analysis with ECCO
ENSO diagnostics NCL scripts
Package to import, analyze, and visualize data from the Global Historical Climatology Network - Daily (GHCN-D) Dataset 0
NCL scripts to draw the Gill patterns
Jupyter notebooks and other materials developed for the Columbia course APMA 4300
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Code and data for building linear inverse model (LIM) in Matlab
Scripts to build a linear inverse model (LIM) based on an input pickle file.
The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.
气象相关书籍合集(持续更新)
Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation
Repository for Toms et al. (2019) publication on deep learning + the MJO
Reconstruction of historical (1905-2015) MJO indices using machine learning
A collaborative educational initiative in computational science and engineering.
investigating ocean-atmosphere interactions
Package of Python scripts for Oceanography
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.