This package is a toolbox for Frank-Wolfe and conditional gradient algorithms. Frank-Wolfe algorithms were designed to solve optimization problems where f is a differentiable convex function and C is a convex and compact set. They are especially useful when we know how to optimize a linear function over C in an efficient way.

Features

  • Documentation available
  • Examples available
  • Julia implementation for various Frank-Wolfe and Conditional Gradient variants
  • Licensed under the MIT License
  • This package is a toolbox for Frank-Wolfe and conditional gradients algorithms

Project Samples

FrankWolfe.jl Screenshot 1

Project Activity

See All Activity >

Categories

Data Visualization

License

MIT License

Follow FrankWolfe.jl

FrankWolfe.jl Web Site

Other Useful Business Software
Go From AI Idea to AI App Fast Icon
Go From AI Idea to AI App Fast

One platform to build, fine-tune, and deploy ML models. No MLOps team required.

Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
Try Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FrankWolfe.jl!

Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-11
Report inappropriate content