Rama Sesha Sridhar Mantripragada (ram-sridhar)

ram-sridhar

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Location:Silver Spring, Maryland

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Rama Sesha Sridhar Mantripragada's repositories

pyisv

A Machine Learning Technique to Extract the Intra Seasonal Variability (ISV) from the Geophysical Data

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Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

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ann-visualizer

A python library for visualizing Artificial Neural Networks (ANN)

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ATLAS

Datasets, code and virtual workspace for the Climate Change ATLAS

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ats655-coursematerial

Course material for ATS 655: Objective Analysis with Prof. Elizabeth Barnes, Dept. of Atmospheric Science, Colorado State University.

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climate-data-science

Climate Data Science and Earth Observation with Python.

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pyenso

A Python Version of Cane-Zebiak Model for ENSO

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cmip6

Examples of CMIP6 cloud data analysis with Pangeo

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DeepWeather

Predicting weather by machine learning.

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ecco_budg_anom

Anomaly budget analysis with ECCO

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intro-numerical-methods

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

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LinearInverseModeling

Scripts to build a linear inverse model (LIM) based on an input pickle file.

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meteoai

The papers or tutorials and relative source code of artificial intelligence for meteorology, ocean and environment science.

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Meteorological-Books

气象相关书籍合集(持续更新)

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MiMA

Model of an idealized Moist Atmosphere: Intermediate-complexity General Circulation Model with full radiation

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MJO_ML

Reconstruction of historical (1905-2015) MJO indices using machine learning

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ocean_atmosphere

investigating ocean-atmosphere interactions

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OceanLab

Package of Python scripts for Oceanography

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open-geo-tutorial

Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

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PlotNeuralNet

Latex code for making neural networks diagrams

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proplot

🎨 A succinct matplotlib wrapper for making beautiful, publication-quality graphics

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PyDMD

Python Dynamic Mode Decomposition

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tigramite

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

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time-series

Course files for "Ocean/Atmosphere Time Series Analysis"

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Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

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warmpool-mjo

MJO events and the code for estimating the phase duration and warm pool area as in Roxy et al. 2019, Nature, "Twofold expansion of Indo-Pacific warm pool warps MJO lifecycle"

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xinvert

Invert geofluid dynamic problem using SOR iteration method.

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