LGL1992

Pinned Repositories

AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
Language:Python0 1 00
AdaX
AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
Language:Python0 1 00
AGEM
Language:Python0 1 00
AIRToolsII
The AIR Tools II toolbox for MATLAB accompanies the publication "AIR Tools II: algebraic iterative reconstruction methods, improved implementation", Hansen, P. C. & Jørgensen, J. S. Numer Algor (2017).
Language:MATLAB0 1 00
Algos-For-Inverse-Problems
Language:MATLAB1 1 00
auto_Tikhonov_TV
MATLAB functions for solving linear inverse problems through a combination of Tikhonov and TV regularization terms, subject to a constraint on the noise affecting the data. The Tikhonov regularization term is weighted by a regularization parameter that can be set adaptively.
Language:MATLAB0 0 00
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Language:Python0 1 00
bayesian-regularization
A demonstration of Bayesian approaches to linear model regularization
Language:R0 2 01
bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
Language:R0 1 00
bilevel_adaptive_parameterChoice
MATLAB functions implementing and testing the methods described in: Silvia Gazzola and Malena Sabate Landman, Adaptive Regularization Parameter Choice Rules for Large-Scale Problems, arXiv 1907.05666, 2019. To soon appear in GAMM-Mitteilungen. To be used in connection with IR Tools.
Language:MATLAB0 1 00

LGL1992's Repositories

LGL1992/Algos-For-Inverse-Problems
Language:MATLAB1 1 00
LGL1992/AdaX
AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
Language:Python0 1 00
LGL1992/AGEM
Language:Python0 1 00
LGL1992/auto_Tikhonov_TV
MATLAB functions for solving linear inverse problems through a combination of Tikhonov and TV regularization terms, subject to a constraint on the noise affecting the data. The Tikhonov regularization term is weighted by a regularization parameter that can be set adaptively.
Language:MATLAB0 0 00
LGL1992/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
Language:R0 1 00
LGL1992/bilevel_adaptive_parameterChoice
MATLAB functions implementing and testing the methods described in: Silvia Gazzola and Malena Sabate Landman, Adaptive Regularization Parameter Choice Rules for Large-Scale Problems, arXiv 1907.05666, 2019. To soon appear in GAMM-Mitteilungen. To be used in connection with IR Tools.
Language:MATLAB0 1 00
LGL1992/Code
Matlab codes for the supervised and unsupervised learning of a Generalized Tikhonov regularizer for linear inverse problems. This set of codes deals with one-dimensional signals.
Language:MATLAB1 0
LGL1992/desyre
Code for the deep synthesis regularization paper.
Language:Python1 0
LGL1992/EdgeEnhancement
MATLAB functions and script implementing the method described in the linked paper. To be used as an add-on to IR Tools; uses some functions from AIR Tools II.
Language:MATLAB1 0
LGL1992/GlobalBioIm
A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging
Language:MATLAB1 01
LGL1992/high-dim-ridge
The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
Language:Jupyter Notebook1 0
LGL1992/HyBRrecycle
MATLAB codes for HyBR with recycling
Language:MATLAB1 0
LGL1992/IRfun
Iterative Regularization with Matrix Functions (Matlab)
Language:MATLAB1 0
LGL1992/IRtools
MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.
Language:MATLAB1 0
LGL1992/iterreg
Iterative regularization solvers for non strongly convex penalties : L1, low rank, etc.
Language:Python1 0
LGL1992/l0bnb
Solves the best subset selection problem
Language:Python1 0
LGL1992/msHyBR
Language:MATLAB0 0
LGL1992/paramonte
ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.
Language:Fortran1 0
LGL1992/phase_retrieval_experiment
Language:Python1 0
LGL1992/psych10-book
Source files for Statistical Thinking For the 21st Century
Language:TeX1 0
LGL1992/pytorch-lasso
L1-regularized least squares with PyTorch
Language:Python1 0
LGL1992/RidgeRegression
Code reproducing the experiments from the paper "Ridge Regression: Structure, Cross-Validation, and Sketching"
Language:Python1 0
LGL1992/SimpleFWI
Simple matlab code for testing optimization algorithms on seismic inverse problems
Language:MATLAB1 0
LGL1992/sippi
A Matlab toolbox for sampling inverse problems with complex priors
Language:MATLAB1 0
LGL1992/sparse-representation
一些在振动信号重构中应用的稀疏重构算法
Language:MATLAB1 0
LGL1992/SSAI
Contains the full SSAI algorithm
Language:MATLAB0 0
LGL1992/surveyhybridprojection
MATLAB codes accompanying the survey paper on hybrid projection methods.
Language:MATLAB1 0
LGL1992/transdim
Machine learning for transportation data imputation and prediction.
Language:Jupyter Notebook1 0
LGL1992/uq_krylov
Language:MATLAB1 0
LGL1992/variational-bayes-cs
Scalable sparse Bayesian learning for large CS recovery problems
Language:MATLAB1 0