Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
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Updated
Feb 29, 2024 - Python
Build and train Lipschitz constrained networks: TensorFlow implementation of k-Lipschitz layers
Deepfakes with an adversarial twist.
PyTorch Implementation of the CLIP Algorithm
Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration
A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization
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