mohamednedal Goto Github PK

2016spd-python-sunpy

introductory material for the 2016 SPD meeting

3dcore

3D coronal mass ejection flux rope modeling

automation-repo

Machine learning and process automation

basic-algorithms-for-classification-from-scratch

Basic alrothms for classification, clustering and Neural Networks (me practicing stuff with sentdex).

calculating-spaceweather-keywords

calculate space-weather keywords (using python)

cashew

The code of the CASHeW framework for analyzing coronal waves

cat-puma

CME Arrival Time Prediction Using Machine learning Algorithms

cme-cnn

CME Arrival Time Prediction Using Convolutional Neural Network

cme-speed-determination

coronal_holes

Source code to reproduce coronal holes segmentation model.

darknet

Convolutional Neural Networks

data_vis_statistics_geosciences

This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs will be updated. See master version for current class.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deepem

Demonstrating a Deep Learning Approach for DEM Inversion

default

IDL Default directory (non-descriptive name because IDL requires this name). This contains all my convenience codes / helper functions. Some I wrote. Some I adapted. Some I just downloaded from elsewhere on the web.

dias_work

Files relevant to my work at DIAS

dora

Tools for exploratory data analysis in Python

drms

Access HMI, AIA and MDI data with Python

estes_park18

Information for the Estes Park school

gcs_python

Graduated cylindrical shell CME model in Python

ginga-sunpy

Plugins and routines for Ginga to enable the use of solar data

helioml

A book about machine learning, statistics, and data mining for heliophysics

heliophysicspy.github.io

helita

A Python library for solar physics from the Institute of Theoretical Astrophysics, University of Oslo

heroes

Optional package for the High Energy Replicated Optics to Explore the Sun (HEROES)

introduction-to-neural-networks

This is a brief, high-level introduction to neural networks that I crafted for a presentation at NASA

irispy

A SunPy-affiliated package which provides tools to analyze data from IRIS

james-s-eve-dimming-index-jedi

Detect and characterize coronal dimming in the Solar Dynamics Observatory Extreme Ultraviolet Variability Experiment data

lofar_dynamic_spectra

Routines to plot LOFAR dynamic spectra from HDF5 data files.

lstm

Routines related to forecasting problems (templates).