Ecosyste.ms: Repos
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GitHub topics: proximal-gradient-descent
KentonMurray/ProxGradPytorch
PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).
Language: Python - Size: 32.2 KB - Last synced: 12 days ago - Pushed: over 3 years ago - Stars: 39 - Forks: 5
jameschapman19/proxtorch
An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
Language: Python - Size: 429 KB - Last synced: 3 days ago - Pushed: 8 months ago - Stars: 3 - Forks: 0
fby1997/Lasso-Regression-coordinate-gradient-descent-proximal-gradient-and-ADMM-Ridge-Regression
Use Ridge Regression and Lasso Regression in prostate cancer data
Language: Python - Size: 16.6 KB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 5 - Forks: 3
sam255/FISTA-in-Julia
Language: Julia - Size: 88.9 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0
joelbengs/optimization_for_learning_with_pytorch
[Optimization algorithms] Study of the Proximal Gradient Method, Stochastic Gradient Descent method and Adam optimizer
Language: Jupyter Notebook - Size: 19.7 MB - Last synced: 3 days ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
lumeilevel/MGProx
Reproduction for 2302.04077
Language: MATLAB - Size: 22.5 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
EliaFantini/Image-Reconstructor-FISTA-proximal-method-on-wavelets-transform
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
Language: Python - Size: 2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0
mrsamsami/Convex-Optimization
Implementation and analysis of convex optimization algorithms
Language: Jupyter Notebook - Size: 3.77 MB - Last synced: 10 months ago - Pushed: almost 4 years ago - Stars: 3 - Forks: 1
jameschapman19/scikit-prox
A package for fitting regularized models from scikit-learn via proximal gradient descent
Language: Python - Size: 104 KB - Last synced: 18 days ago - Pushed: 11 months ago - Stars: 4 - Forks: 0
ofsoundof/group_sparsity
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
Language: Python - Size: 2.79 MB - Last synced: about 1 year ago - Pushed: about 2 years ago - Stars: 53 - Forks: 13
qntwrsm/ProximalMethods.jl
Provides proximal operator evaluation routines and proximal optimization algorithms, such as (accelerated) proximal gradient methods and alternating direction method of multipliers (ADMM), for non-smooth/non-differentiable objective functions.
Language: Julia - Size: 178 KB - Last synced: 3 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
matthieumeo/pyoneer
Pyoneer is a Python 3 package for the continuous recovery of non-bandlimited periodic signals with finite rates of innovation (e.g. Dirac streams) from generalised measurements.
Language: Python - Size: 4.82 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 8 - Forks: 2
vienmai/pomodoro
Pomodoro: Progressive Decomposition Methods with Acceleration
Language: C++ - Size: 3.31 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
EliaFantini/CSI-using-Blind-Image-Deconvolution-and-Frank-Wolfe-algorithm
Blind Image Deconvolution and Frank-Wolfe's algorithm to deblur a license plate for Crime Scene Investigation (CSI)
Language: Jupyter Notebook - Size: 7.42 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
EliaFantini/FO-PROX-first-order-and-proximal-methods-convergence-comparison
Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates
Language: Python - Size: 4.35 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
xianchen2/lasso_ProximalGD_Accelerated_ADMM
Python Implementations of proximal GD, Accelerated proximal GD and ADMM for solving lasso regression
Language: Jupyter Notebook - Size: 62.5 KB - Last synced: about 1 year ago - Pushed: over 5 years ago - Stars: 3 - Forks: 4