Pinned Repositories
beetroots
Beetroots (BayEsian invErsion with spaTial Regularization of nOisy multi-line ObservaTion mapS) is a Python package that performs Bayesian inference with the sampling algorithm described in (Palud et al., 2023).
cristal-sigma.github.io
Template Jekyll theme for building a personal site, blog, project documentation, or portfolio based on https://mmistakes.github.io/minimal-mistakes/
odw-2023
Tutorials for GW Open Data Workshop, 2023
olar-federated-learning
OLAR is an algorithm for optimal task assignment in the context of heterogeneous Federated Learning devices.
online-unmixing-plmm
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability
phd-thesis-template
Template for PhD thesis using Tufte's style book
Provable_Plug_and_Play
robust-unmixing-plmm
A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images
time-regularized-joint-img-calibration
Time-Regularized Blind Deconvolution Approach for Radio Interferometry
unmixing-plmm
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
pthouvenin's Repositories
pthouvenin/online-unmixing-plmm
Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability
pthouvenin/robust-unmixing-plmm
A hierarchical Bayesian model accounting for endmember variability and abrupt spectral changes to unmix multitemporal hyperspectral images
pthouvenin/unmixing-plmm
Hyperspectral unmixing with spectral variability using a perturbed linear mixing model
pthouvenin/beetroots
Beetroots (BayEsian invErsion with spaTial Regularization of nOisy multi-line ObservaTion mapS) is a Python package that performs Bayesian inference with the sampling algorithm described in (Palud et al., 2023).
pthouvenin/cristal-sigma.github.io
Template Jekyll theme for building a personal site, blog, project documentation, or portfolio based on https://mmistakes.github.io/minimal-mistakes/
pthouvenin/odw-2023
Tutorials for GW Open Data Workshop, 2023
pthouvenin/olar-federated-learning
OLAR is an algorithm for optimal task assignment in the context of heterogeneous Federated Learning devices.
pthouvenin/phd-thesis-template
Template for PhD thesis using Tufte's style book
pthouvenin/Provable_Plug_and_Play
pthouvenin/ProxImage
Proximal algorithms for image analysis
pthouvenin/pthouvenin.github.io
Personal webpage
pthouvenin/pyxis
Python Extensions for Interferometry Scripting
pthouvenin/time-regularized-joint-img-calibration
Time-Regularized Blind Deconvolution Approach for Radio Interferometry
pthouvenin/SARA-CALIB-time-regularised
SARA-CALIB-time-regularised: Time-regularised joint calibration and imaging for radio-interferometry
pthouvenin/sdia-python
Python course material - SDIA Python
pthouvenin/spectral_unmixing
Repository for my Research Project 2021-2022 as part of the Master Data Science, about spectral unmixing.
pthouvenin/streaming-quantiles
Implements the Karnin-Lang-Liberty (KLL) algorithm in python
pthouvenin/synthetic-hs-variability
Synthetic endmember variability generation (MATLAB codes).
pthouvenin/template-python-project
Attempt to create a boilerplate Python package structure up-to-date tools and workflows
pthouvenin/TutoRico-2023