GitHub topics: lipschitz-functions

Repositories

fouratifares/ECP

Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants

Language: Jupyter Notebook - Size: 515 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 15 - Forks: 0

deel-ai/deel-lip

Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers

Language: Python - Size: 12.4 MB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 96 - Forks: 10

RahulBhalley/gan-qp.pytorch

Unofficial PyTorch implementation of "GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint"

Language: Python - Size: 20.9 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 31 - Forks: 6

cemanil/LNets

Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).

Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 50 - Forks: 20

Выпускная квалификационная работа "Реализация численных методов решения негладких экстремальных задач" / Final qualifying work "Implementation of numerical methods for solving nonsmooth extremal problems"

Language: C# - Size: 64.5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

dmivilensky/Adaptive-relatively-smooth-optimization

We introduce the new concept of (α,L,δ)-relative smoothness (see https://arxiv.org/pdf/2107.05765.pdf) which covers both the concept of relative smoothness and relative Lipschitz continuity. For the corresponding class of problems, we propose some adaptive and universal methods which have optimal estimates of the convergence rate.

Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1