Algorithms for Routing and Solving the Traffic Assignment Problem
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Updated
Mar 19, 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.
Differentiable wrapper for FrankWolfe.jl convex optimization routines
Frank-Wolfe Algorithm : Find User Equilibrium in Traffic Assignment
This is the repo for Fast Pure Exploration via Frank-Wolfe (NeurIPS 2021).
DOT
Constrained Optimization using Frank-Wolfe Method
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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