rbalbay

deep-residual-learning-wavefront

Python code for our Opt. Express paper "Deep residual learning for low-order wavefront sensing in high-contrast imaging systems."

GigPy

GPS-based Imaging Geodesy toolbox in Python. [Improved from PyGPS]

hcipy

A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.

Machine-learning-for-image-based-wavefront-sensing

Master thesis: Uliège

MLWS_S19

Project on machine learning wavefront sensing

rbalbay

Config files for my GitHub profile.

rbalbay.github.io

satsim

SatNet annotated image simulator using Tensorflow.

slmPy

A simple Python module based on wxPython to interact with spatial light modulators handled as secondary monitors.

wavefront-sensor-neural-network

neural network trained to retrieve the amplitude and phase of objects by measurement of their diffraction pattern

rbalbay/deep-residual-learning-wavefront

Python code for our Opt. Express paper "Deep residual learning for low-order wavefront sensing in high-contrast imaging systems."

rbalbay/GigPy

GPS-based Imaging Geodesy toolbox in Python. [Improved from PyGPS]

rbalbay/hcipy

A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.

rbalbay/Machine-learning-for-image-based-wavefront-sensing

Master thesis: Uliège

rbalbay/MLWS_S19

Project on machine learning wavefront sensing

rbalbay/rbalbay

Config files for my GitHub profile.

rbalbay/rbalbay.github.io

rbalbay/satsim

SatNet annotated image simulator using Tensorflow.

rbalbay/slmPy

A simple Python module based on wxPython to interact with spatial light modulators handled as secondary monitors.

rbalbay/wavefront-sensor-neural-network

neural network trained to retrieve the amplitude and phase of objects by measurement of their diffraction pattern