proximal-gradient-descent

There are 0 repository under proximal-gradient-descent topic.

ofsoundof / group_sparsity
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
filter-pruning group-sparsity low-rank-approximation network-compression proximal-gradient-descent
Language:Python 65
ProxGradPytorch
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).
proximal gradient descent auto-sizing hyperparameter-optimization hyperparameter proximal-gradient-descent
Language:Python 42
mrsamsami / Convex-Optimization
Implementation and analysis of convex optimization algorithms
convex-optimization gradient-descent stochastic-gradient-descent newton-method proximal-gradient-descent machine-learning
Language:Jupyter Notebook 13
Image-Reconstructor-FISTA-proximal-method-on-wavelets-transform
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
fista ista l1-regularization machine-learning proximal-gradient-descent proximal-policy-optimization total-variational-denoising data-science denoising-images image-reconstruction optimization-methods python pytorch total-variation matplotlib skimage
Language:Python 11
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.
cpgd denoising-algorithm finite-rate-of-innovation non-convex-optimization non-uniform-sampling periodic-signals proximal-gradient-descent python3 sampling-theory signal-processing
Language:Python 10
alexshtf / inc_prox_pt
Proximal-point methods for machine learning
machine-learning proximal-algorithms proximal-gradient-descent python pytorch
Language:Python 6
fby1997 / Lasso-Regression-coordinate-gradient-descent-proximal-gradient-and-ADMM-Ridge-Regression
Use Ridge Regression and Lasso Regression in prostate cancer data
lasso-regression ridge-regression admm proximal-gradient-descent coordinate-descent
Language:Python 6
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.
proximal-gradient-descent proximal-operator proximal-operators proximal-regularization
Language:Python 6
jameschapman19 / scikit-prox
A package for fitting regularized models from scikit-learn via proximal gradient descent
proximal-gradient-descent regularization scikit-learn scikit-learn-api
Language:Python 4
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.
julia proximal-algorithms proximal-operators proximal-gradient-descent optimization
Language:Julia 3
xianchen2 / lasso_ProximalGD_Accelerated_ADMM
Python Implementations of proximal GD, Accelerated proximal GD and ADMM for solving lasso regression
accelerated-proximal-gd admm lasso-regression proximal-gradient-descent
Language:Jupyter Notebook 3
CSI-using-Blind-Image-Deconvolution-and-Frank-Wolfe-algorithm
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)
anaconda blind-image-deconvolution constrained-optimization csi data-science frank-wolfe jupyter-notebook lmo machine-learning matplotlib nuclear-norm proximal-gradient-descent python scipy singular-value-decomposition
Language:Jupyter Notebook 2
FO-PROX-first-order-and-proximal-methods-convergence-comparison
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
accelerated-gradient adagrad data-science first-order-methods gradient-descent machine-learning matplotlib numpy proximal-gradient-descent proximal-gradient-method python sklearn fista ista stochastic-gradient-descent subgradient variance-reduction
Language:Python 1
joelbengs / optimization_for_learning_with_pytorch
[Optimization algorithms] Study of the Proximal Gradient Method, Stochastic Gradient Descent method and Adam optimizer
adam-optimizer convergence-analysis neural-networks numpy proximal-gradient-descent proximal-gradient-method python pytorch sgd-optimizer
Language:Jupyter Notebook 1
lumeilevel / MGProx
Reproduction for 2302.04077
apg multigrid proximal-gradient-descent
Language:MATLAB 0
lumeilevel / uniMGProx
Unified implementation of MGProx.
apg multigrid proximal-gradient-descent proximal-gradient-method
Language:MATLAB 0
vienmai / pomodoro
Pomodoro: Progressive Decomposition Methods with Acceleration
optimization-algorithms admm mpi header-only bfgs-algorithm anderson-acceleration proximal-gradient-descent distributed-optimization
Language:C++ 0
Niangmohamed / Optimization-for-Data-Science
Optimization methods for lasso penalized logistic regression.
optimization-algorithms optimization-methods optimization-problem lasso-penalty gradient-descent-algorithm proximal-gradient-descent
Language:Jupyter Notebook