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GitHub topics: lipschitz

matlab-deep-learning/constrained-deep-learning

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

Language: MATLAB - Size: 14.9 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 53 - Forks: 3

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: about 10 hours ago - Pushed at: 3 months ago - Stars: 96 - Forks: 10

usamisaori/qLipschitz

Quantum faireness verifying algorithm based on calculating Lipschitz constant, an implementaion of paper: https://arxiv.org/pdf/2207.11173.pdf💿

Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Related Keywords
lipschitz 3 quantum-computation 1 quantum 1 qiskit 1 python 1 jupyter 1 fairness-ml 1 wasserstein-distance-estimation 1 tensorflow2 1 tensorflow 1 spectral-normalization 1 lipschitz-regularization 1 lipschitz-functions 1 keras-tensorflow 1 keras 1 neural-networks 1 monotonicity 1 monotonic 1 lipschitz-network 1 deep-learning-algorithms 1 deep-learning 1 convex-neural-network 1 convex 1 ai-verification 1