MohamedNedal

CME-CNN

CME Arrival Time Prediction Using Convolutional Neural Network

CME-Speed-Determination

HelioML

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

sub_pfss_analysis_notebook

Includes the library of functions and the jupyter notebook for finding photospheric magnetic footpoints connected to a point in the interplanetary space.

teaching

automation-repo

Machine learning and process automation

RadioBurstAnalysis

This repository is dedicated to analyzing data of solar radio bursts obtained from the CALLISTO spectrometer.

dias_work

Files relevant to my work at DIAS

drms

Access HMI, AIA and MDI data with Python

gcs_python

Graduated cylindrical shell CME model in Python

irispy

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

LOFAR_dynamic_spectra

Routines to plot LOFAR dynamic spectra from HDF5 data files.

lstm

Routines related to forecasting problems (templates).

machine-learning-with-solar-data

predicting solar eruptions using machine-learning methods

ml-helio.github.io

Website of the ML-Helio conference

mnedal.github.io

Basic academic webpage

phd_thesis

All files required to compile my PhD thesis.

PREDSTORM

Forecasting of the solar wind and geomagnetic storms with spacecraft at L1, L5 or trailing the Earth in its orbit

predstorm-examples

presentations

Presentations on and related to SunPy

PsiPy

Tools for reading, processing, and visualising MHD models run by Predictive Science Inc.

Radio-Public

Open source version of time delay of arrival method for triangulating solar radio bursts

radio_analysis

sharp_analysis

Analysing SHARP parameters and inspecting the correlation between keywords and geomagnetic parameters.

Slic

A fast tool for solar image classification.

sunkit-dem

A package for computing differential emission measures using multiple methods with a common API

sunpy

SunPy - Python for Solar Physics

sunxspex

A package for solar X-ray spectroscopy

tensorflow-1-public

TimeSeriesLSTM

Fully coded with Google Colab.