IOL Lab @ ZIB  (@ZIB-IOL)
  • Stars
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    45
  • Global Org. Rank 83,639 (Top 27 %)
  • Registered about 4 years ago
  • Most used languages
    Python
    61.5 %
    Julia
    38.5 %

Top repositories

1

FrankWolfe.jl

Julia implementation for various Frank-Wolfe and Conditional Gradient variants
Julia
92
star
2

Boscia.jl

Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
Julia
22
star
3

CINDy

CINDy: Conditional gradient-based Identification of Non-linear Dynamics โ€“ Noise-robust recovery
Python
8
star
4

StochasticFrankWolfe

Python
7
star
5

fw-rde

Official implementation of the paper "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings" by J. Macdonald, M. Besanรงon, and S. Pokutta (2021).
Python
4
star
6

FrankWolfe-book-code

Python implementation of Frank-Wolfe and Conditional Gradient algorithms
Python
2
star
7

AAPPR.jl

Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
Julia
1
star
8

KernelHerding.jl

A package demonstrating Kernel Herding with Frank-Wolfe algorithms
Julia
1
star
9

AVI

approximate vanishing ideal computations
Julia
1
star
10

merlin-arthur-classifiers

Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.
Python
1
star
11

cgavi

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.
Python
1
star
12

IMP

Back to Basics: Efficient Network Compression via IMP
Python
1
star
13

open_loop_fw

Code for the paper: Wirth, E., Pokutta, S., and Kerdreux, T. (2023). Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes. To Appear in Proceedings of AISTATS.
Python
1
star