tobias-liaudat
Research scientist at CEA Saclay, France. Working on inverse problems in imaging and machine learning.
CEA SaclayParis, France
Pinned Repositories
QuantifAI
PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driven (learned) priors
mccd
Multi-CCD data-driven PSF modelling
shapepipe
Shape Measurement Pipeline
wf-psf
Data-driven wavefront-based PSF modelling framework.
batoid
c++ backed python optical raytracer
ClassG_amp
[Analog circuit design] Design of a low-distorsion Class G audio power amplifier and 2 switching mode power supplies
DGMCA
DGMCA (Distributed Generalized Morphological Component Analysis)
psf-sandbox
Sandbox for PSF related stuff
rcGAN
wf-psf
Data-driven wavefront-based PSF modelling framework.
tobias-liaudat's Repositories
tobias-liaudat/wf-psf
Data-driven wavefront-based PSF modelling framework.
tobias-liaudat/DGMCA
DGMCA (Distributed Generalized Morphological Component Analysis)
tobias-liaudat/psf-sandbox
Sandbox for PSF related stuff
tobias-liaudat/rcGAN
tobias-liaudat/batoid
c++ backed python optical raytracer
tobias-liaudat/benchmark_sampling
tobias-liaudat/complexPyTorch
A high-level toolbox for using complex valued neural networks in PyTorch
tobias-liaudat/convex_ridge_regularizers
tobias-liaudat/deep_mccd
tobias-liaudat/git-tuto
A very sparse repo to practice the basics of git and GitHub flow in open source
tobias-liaudat/jean-zay-doc
Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation is here: http://www.idris.fr/eng/jean-zay/
tobias-liaudat/benchopt
Making your benchmark of optimization algorithms simple and open
tobias-liaudat/deepinv
PyTorch library for solving imaging inverse problems using deep learning
tobias-liaudat/mccd
Multi-CCD PSF modelling
tobias-liaudat/ModOpt
Modular Optimisation tools for solving inverse problems
tobias-liaudat/octave_image_processing_example
This is an example of a Jupyter Notebook in Octave to perfom basic Image Processing operations.
tobias-liaudat/proxnest
Proximal Nested Sampling for high-dimensional Bayesian model selection
tobias-liaudat/PyTorch-Wavelet-Toolbox
Differentiable fast wavelet transforms in PyTorch with GPU support.
tobias-liaudat/random-JC-list
Random generator for the Journal Club
tobias-liaudat/rca
Resolved Component Analysis
tobias-liaudat/sampling-tutorials
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
tobias-liaudat/shapepipe-1
Shape Measurement Pipeline
tobias-liaudat/Shear-and-PSF-Reading-Group
Notes and tools derived from reading groups sessions
tobias-liaudat/ShearDataClub
Repo for the data exploration done in the CosmoStat Shear Data Club
tobias-liaudat/slides
Keep slides of given talks
tobias-liaudat/Stile
Stile: the Systematics Tests In Lensing pipeline
tobias-liaudat/submission-scripts
Submission scripts handling for cluster
tobias-liaudat/tobias-liaudat.github.io
My personal website
tobias-liaudat/wf-SEDs
Ongoing work with the WaveDiff data-driven PSF model
tobias-liaudat/wikiTobi
Personal wiki not to loose track of studied paper and stuff.