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1

FrankWolfe.jl

Julia implementation for various Frank-Wolfe and Conditional Gradient

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.

Downloads: 0 This Week

Last Update: 2026-03-02
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2

Merlin.jl

Deep Learning for Julia

Merlin is a deep learning framework written in Julia. It aims to provide a fast, flexible and compact deep learning library for machine learning. Merlin is tested against Julia 1.0 on Linux, OS X, and Windows (x64).

Downloads: 0 This Week

Last Update: 2023-11-27
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