Topic: "proximal-regularization"
experiencor/online-machine-learning
Implementation of an online learning algorithm to do classification under concept drift
Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 9
JuliaSmoothOptimizers/RegularizedProblems.jl
Test Cases for Regularized Optimization
Language: Julia - Size: 566 KB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 7
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 at: 6 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
wedgeCountry/Stochastic-Quasi-Newton Fork of heidekrueger/CaseStudiesMachineLearning
This was a project case study on nonlinear optimization. We implemented the Stochastic Quasi-Newton method, the Stochastic Proximal Gradient method and applied both to a dictionary learning problem.
Language: Python - Size: 294 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1
