lipschitz-network
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Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
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Jan 13, 2025 - MATLAB
Build and train Lipschitz-constrained networks: PyTorch implementation of 1-Lipschitz layers. For TensorFlow/Keras implementation, seehttps://github.com/deel-ai/deel-lip
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Feb 25, 2025 - Python
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
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Mar 16, 2022 - Cuda
Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
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Feb 2, 2024 - Python
D<ee>p Learning [dev library]
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Feb 28, 2025 - Python
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