Algorithms for Routing and Solving the Traffic Assignment Problem
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Updated
Jun 18, 2024 - C++
Algorithms for Routing and Solving the Traffic Assignment Problem
Program for obtaining the user equilibrium solution with Frank-Wolfe Algorithm in urban traffic assignment
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
The Workspace Planning Tool helps facilities managers and other workspace planners optimize seating arrangements and floorplans using Workplace Analytics collaboration data. This stand-alone tool is a series of Jupyter notebooks you can run locally on your machine.
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
DOT
Differentiable wrapper for FrankWolfe.jl convex optimization routines
Constrained Optimization using Frank-Wolfe Method
Frank-Wolfe Algorithm : Find User Equilibrium in Traffic Assignment
This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).
Library of Semi-Relaxed Optimal Transport
Code for the paper: Wirth, E.S. and Pokutta, S., 2022, May. Conditional gradients for the approximately vanishing ideal. In International Conference on Artificial Intelligence and Statistics (pp. 2191-2209). PMLR.
This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.
Implementation of Frank Wolfe algoritm on python
Implementation of a novel 'helicality' algorithm that quantifies the octave equivalence of frequency sub-bands in an audio dataset.
Routines for submodular set function minimization
Zeroth order Frank Wolfe algorithm. Project for the Optimization for Data Science exam.
Blind Image Deconvolution and Frank-Wolfe's algorithm to deblur a license plate for Crime Scene Investigation (CSI)
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