Sparse Optimisation Research Code
-
Updated
Apr 29, 2024 - Python
Sparse Optimisation Research Code
A JavaScript library to allocate and optimize financial portfolios.
Scientific Computational Imaging COde
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.
TOmographic MOdel-BAsed Reconstruction (ToMoBAR) software
Lensless imaging toolkit. Complete tutorial: https://go.epfl.ch/lenslesspicam
l1l2py is a Python package to perform variable selection by means of l1l2 regularization with double optimization.
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Utilizing Gradient Decent & FISTA
Library of Semi-Relaxed Optimal Transport
Matrix Completion applied to the Netflix problem and image inpainting / recovery
Package to compute spherical ridgelets
All sorts of data science & computer science programs for future reference
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
Triton implementation for FISTA (Experimental)
Computational Mathematics models
Total Variation (TV) flow implementation in C/C++
Computational Mathematics models
Astrophysics Lasso Inverse Abel Solver
Add a description, image, and links to the fista topic page so that developers can more easily learn about it.
To associate your repository with the fista topic, visit your repo's landing page and select "manage topics."