ram-sridhar Goto Github PK

open-geo-tutorial

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

plotneuralnet

Latex code for making neural networks diagrams

polycoherence

Calculate bicoherence, bispectrum, polycoherence and polyspectrum

proplot

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

pydmd

Python Dynamic Mode Decomposition

pyenso

A Python Version of Cane-Zebiak Model for ENSO

pyisv

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

python-practical-application-on-climate-variability-studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts

pythongillatmosphere

Python implementation of the Gill (1980) atmospheric model, with weak temperature gradient extension by Bretherton and Sobel (2003).

ram-sridhar.github.io

shallowwater

Shallow Water Equations in Python

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tigramite

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

time-series

Course files for "Ocean/Atmosphere Time Series Analysis"

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

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"

xinvert

Invert geofluid dynamic problem using SOR iteration method.