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neural_chemistry

neural_etalon

neural_exocartography

neural_fields

neural_hinode

nf_corona

notebooks

All my Jupyter Notebooks

pcadeconvolution

Deconvolution of maps of Stokes parameters using a PCA regularization

phase_diversity_dl

A deep learning approach to phase diversity

phd_thesis

My PhD thesis

proxstokessystematics

Proximal inversion of Stokes profiles for systematic effects

pyabc

Python versions of Approximate Bayesian Computation

pyabundance

Compute molecular abundances

pyandres

Useful python routines

pyfftw-feedstock

A conda-smithy repository for pyfftw.

pygplsd

A Bayesian least-squares deconvolution approach based on Gaussian Processes for the detection of Zeeman signatures in stellar spectropolarimetry.

pyiacsun

Python routines of the solar group at the IAC

pylte

Easy-to-use local thermodynamical equilibrium synthesis code

pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pymcao

Multi-conjugate adaptive optics simulator

pymultinest

PyMultines

pysir

Python wrapper for the Stokes Inversion based on Response functions code by Ruiz Cobo & del Toro Iniesta (1992)

python-progressbar

Automatically exported from code.google.com/p/python-progressbar

pytorch_skeleton

A simple skeleton for training neural networks in PyTorch

pyzerosr1

Python version of zeroSR1

quietsunbayes

Bayesian analysis of the quiet Sun

quietsunturbulent

Quiet Sun Turbulent

randommodulator

Codes that show how a random sub-Nyquist polarimetric modulator would work

rvm

Relevance Vector Machine

rvmmilne

Milne-Eddington inversion including systematics modeled with an RVM