Pinned Repositories
astroalign
A tool to align astronomical images based on asterism matching
astroNN
Deep Learning for Astronomers with Tensorflow
benford_py
Python implementation of Benford's Law tests.
cashew
The code of the CASHeW framework for analyzing coronal waves
DeepEM
Demonstrating a Deep Learning Approach for DEM Inversion
demreg
Calculate the Differential Emission Measure (DEM) from solar data using regularised inversion.
eispac
FeXIII-coronal-density
Small sets of notebooks to inferr FE XIII coronal densities using a chianti look-up table
firtez-dz
sunkit-sst
YEAH..........THE NAME IS WIERD.................ALSO THERE ARE NO GHOSTS
sharmarahul20's Repositories
sharmarahul20/sunkit-sst
YEAH..........THE NAME IS WIERD.................ALSO THERE ARE NO GHOSTS
sharmarahul20/astroalign
A tool to align astronomical images based on asterism matching
sharmarahul20/astroNN
Deep Learning for Astronomers with Tensorflow
sharmarahul20/benford_py
Python implementation of Benford's Law tests.
sharmarahul20/cashew
The code of the CASHeW framework for analyzing coronal waves
sharmarahul20/DeepEM
Demonstrating a Deep Learning Approach for DEM Inversion
sharmarahul20/demreg
Calculate the Differential Emission Measure (DEM) from solar data using regularised inversion.
sharmarahul20/eispac
sharmarahul20/FeXIII-coronal-density
Small sets of notebooks to inferr FE XIII coronal densities using a chianti look-up table
sharmarahul20/firtez-dz
sharmarahul20/flca
Fourier local correlation alignment (FLCA) is an efficient method for aligning images based on the [FLCT](http://solarmuri.ssl.berkeley.edu/overview/publicdownloads/software.html). The latter is a method for performing local correlation tracking. FLCA can calculate the local corretion of two images pixel by pixel, and the final shift-X and shift-Y are gained as the median values of those from the middle region (60%). The code has the advantages of being precise, fast, user friendly, and open.
sharmarahul20/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
sharmarahul20/image-noise-gate
sharmarahul20/myspicule
sharmarahul20/pydave4vm
This is a working version in python of the dave4vm software that was originally written in IDL
sharmarahul20/licplot
Line integral convolution for visualizing vector fields
sharmarahul20/noise2self
A framework for blind denoising with self-supervision.
sharmarahul20/PyGS
Magnetic flux rope detection & reconstruction based on the extended Grad-Shafranov equation
sharmarahul20/sharmarahul20.github.io
sharmarahul20/sktime-tutorial-pydata-amsterdam-2020
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
sharmarahul20/solar-coronal-inversion
This is the main repository for the CLEDB code distribution. CLEDB is utilized to infer vector coronal magnetic fields in the solar corona.
sharmarahul20/solo8_tutorials
Solar Orbiter 8 Workshop Data Analysis Tutorials from Sept 2022
sharmarahul20/starwinds-magnetogram
Magnetogram manipulation routines
sharmarahul20/stic
The Stockholm inversion code
sharmarahul20/test2023.github.io
sharmarahul20/testsitetemplate
Ananke: A theme for Hugo Sites
sharmarahul20/uCoMP-workshop-2023
compPy tutorial for the uCoMP workshop 2023
sharmarahul20/WISA
WOW demonstration
sharmarahul20/YAFTA
sharmarahul20/ZDIpy
A code for Doppler Imaging and Zeeman Doppler Imaging, for reconstructing stellar surface features from time series observations.