Projects in Awesome Lists by ZIB-IOL
A curated list of projects in awesome lists by ZIB-IOL .
https://github.com/zib-iol/frankwolfe.jl
Julia implementation for various Frank-Wolfe and Conditional Gradient variants
conditional-gradients first-order-methods frank-wolfe hacktoberfest julia optimization optimization-algorithms
Last synced: 04 Apr 2025
https://github.com/zib-iol/boscia.jl
Mixed-Integer Convex Programming: Branch-and-bound with Frank-Wolfe-based convex relaxations
first-order-methods frank-wolfe julia mixed-integer-programming nonlinear-optimization optimization optimization-algorithms
Last synced: 07 May 2025
https://github.com/zib-iol/stochasticfrankwolfe
Implementation of the Stochastic Frank Wolfe algorithm in TensorFlow and Pytorch.
constrained-optimization deep-learning frank-wolfe neural-network pytorch tensorflow
Last synced: 07 May 2025
https://github.com/zib-iol/cindy
CINDy: Conditional gradient-based Identification of Non-linear Dynamics – Noise-robust recovery
Last synced: 07 May 2025
https://github.com/zib-iol/sms
Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
averaging deep-learning neural-network optimization pruning pytorch sparsity
Last synced: 15 Apr 2025
https://github.com/zib-iol/bimp
Code to reproduce the experiments of ICLR2023-paper: How I Learned to Stop Worrying and Love Retraining
deep-learning learning-rate-scheduling neural-network optimization pruning pytorch sparsity
Last synced: 07 May 2025
https://github.com/zib-iol/frankwolfe-book-code
Python implementation of Frank-Wolfe and Conditional Gradient algorithms
Last synced: 15 Apr 2025
https://github.com/zib-iol/fw-rde
Official implementation of the paper "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings" by J. Macdonald, M. Besançon, and S. Pokutta (2021).
Last synced: 07 May 2025
https://github.com/zib-iol/bellpolytopes.jl
Bell inequalities and local models via Frank-Wolfe algorithms
bell-inequalities conditional-gradients frank-wolfe local-models local-polytope
Last synced: 12 May 2025
https://github.com/zib-iol/abssmoothfrankwolfe.jl
Algorithm for nonsmooth optimization
Last synced: 12 May 2025
https://github.com/zib-iol/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.
Last synced: 31 Mar 2025
https://github.com/zib-iol/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.
frank-wolfe frank-wolfe-method vanishing-ideal
Last synced: 31 Mar 2025
https://github.com/zib-iol/feddistill
Code to reproduce the experiments of the ICLR25 paper "On the Byzantine-Resilience of Distillation-Based Federated Learning"
byzantine deep-learning federated-learning knowledge-distillation neural-networks pytorch
Last synced: 15 Apr 2025
https://github.com/zib-iol/approximatevanishingideals.jl
approximate vanishing ideal computations
Last synced: 31 Mar 2025
https://github.com/zib-iol/aappr.jl
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
Last synced: 31 Mar 2025
https://github.com/zib-iol/merlin-arthur-classifiers
Implementation of Merlin-Arthur-Classifier Framework presented at AISTATS24.
Last synced: 31 Mar 2025
https://github.com/zib-iol/kernelherding.jl
A package demonstrating Kernel Herding with Frank-Wolfe algorithms
Last synced: 31 Mar 2025
https://github.com/zib-iol/compression-aware-sfw
Code to reproduce the experiments of "Compression-aware Training of Neural Networks using Frank-Wolfe"
compression constrained-optimization deep-learning machine-learning neural-network pruning pytorch
Last synced: 31 Mar 2025
https://github.com/zib-iol/benchmarks_for_frankwolfe_and_boscia
Benchmarks for the FrankWolfe.jl and Boscia.jl packages
Last synced: 07 May 2025
https://github.com/zib-iol/combinatoriallinearoracles.jl
Linear Minimization Oracles for Combinatorial Problems
Last synced: 31 Mar 2025
https://github.com/zib-iol/optimaldesignwithboscia
Solving the Exact Optimal Experiment Design Problem using the convex mixed-integer solver Boscia.jl
Last synced: 31 Mar 2025
https://github.com/zib-iol/perp
Code to reproduce the experiments of the paper: "PERP: Rethinking the Prune-Retrain Paradigm in the ERA of LLMs"
deep-learning efficiency finetuning llms neural-network pruning pytorch sparsity
Last synced: 31 Mar 2025
https://github.com/zib-iol/avi_at_scale
Code for the paper: [Wirth, E., Kera, H., and Pokutta, S. (2022). Approximate vanishing ideal computations at scale.](https://arxiv.org/abs/2207.01236)
approximate-vanishing-ideal convex-optimization frank-wolfe
Last synced: 31 Mar 2025
https://github.com/zib-iol/fw-generalized-selfconcordant
Repository for the NeurIPS2021 paper "Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions"
Last synced: 31 Mar 2025
https://github.com/zib-iol/affineinvariantolfw
Code for the paper Accelerated Affine-Invariant Vonvergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes
Last synced: 31 Mar 2025