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juliahub.com : FrankWolfe
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
Registry
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Source
- Documentation
- JSON
purl: pkg:julia/FrankWolfe
Keywords: first-order-methods, frank-wolfe, hacktoberfest, conditional-gradients, optimization, julia, optimization-algorithms
License: MIT
Latest release: about 2 months ago
First release: about 3 years ago
Dependent packages: 5
Stars: 88 on GitHub
Forks: 15 on GitHub
Total Commits: 866
Committers: 21
Average commits per author: 41.238
Development Distribution Score (DDS): 0.463
More commit stats: commits.ecosyste.ms
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Last synced: 6 days ago
Boscia 0.1.24
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations25 versions - Latest release: about 1 month ago - 19 stars on GitHub
BellPolytopes 0.1.2
This julia package addresses the membership problem for local polytopes: it constructs Bell inequ...3 versions - Latest release: 3 months ago - 3 stars on GitHub
ApproximateVanishingIdeals 0.1.1
approximate vanishing ideal computations2 versions - Latest release: 3 months ago - 2 stars on GitHub
InferOpt 0.6.1
Combinatorial optimization layers for machine learning pipelines10 versions - Latest release: 3 months ago - 108 stars on GitHub
DifferentiableFrankWolfe 0.2.1
Differentiable wrapper for FrankWolfe.jl convex optimization routines7 versions - Latest release: 4 months ago - 1 dependent package - 5 stars on GitHub