Pinned Repositories
AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
AdaX
AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
AGEM
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).
Algos-For-Inverse-Problems
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.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
bayesian-regularization
A demonstration of Bayesian approaches to linear model regularization
bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
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.
LGL1992's Repositories
LGL1992/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
LGL1992/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).
LGL1992/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
LGL1992/bayesian-regularization
A demonstration of Bayesian approaches to linear model regularization
LGL1992/CS-Recovery-Algorithms
LGL1992/DeepIoT
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
LGL1992/Distributed-Compressive-Sensing-A-Deep-Learning-Approach
Distributed Compressive Sensing: A Deep Learning Approach
LGL1992/DL-Benchmarks
Comparative Study of Deep Learning Software Frameworks
LGL1992/FIMA
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems (TPAMI 2019)
LGL1992/KSVD
LGL1992/ncreg
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
LGL1992/nonmarkov-timeseries-estimation
Implementation of framework and reproduction of figures from "A Modularized Efficient Framework for Non-Markov Time Series Estimation" (https://arxiv.org/abs/1706.04685)
LGL1992/PEIP
MATLAB code for examples and exercises for the 3rd edition of Parameter Estimation and Inverse Problems
LGL1992/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
LGL1992/RiA2
Source code for R in Action, Second Edition
LGL1992/scikit-learn
scikit-learn: machine learning in Python
LGL1992/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
LGL1992/sparse-plex
A MATLAB library for sparse representation problems
LGL1992/Virgilio
Your new Mentor for Data Science E-Learning.