Alternatives and similar repositories for dl_spectral_normalization:

Users that are interested in dl_spectral_normalization are comparing it to the libraries listed below

• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• ajiljalal / manifold-defense
  ☆20Updated 6 months ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆33Updated 4 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 6 months ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated 2 years ago
• cetmann / robustness-interpretability
  Code for the Paper 'On the Connection Between Adversarial Robustness and Saliency Map Interpretability' by C. Etmann, S. Lunz, P. Maass, …
  ☆16Updated 5 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 6 years ago
• fjxmlzn / PacGAN
  [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
  ☆81Updated 4 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 4 years ago
• locuslab / projected_sinkhorn
  ☆87Updated 6 months ago
• cfinlay / tulip
  Scaleable input gradient regularization
  ☆22Updated 5 years ago
• Hadisalman / robust-verify-benchmark
  Benchmark for LP-relaxed robustness verification of ReLU-networks
  ☆41Updated 5 years ago
• MadryLab / adversarial_spatial
  Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
  ☆49Updated 5 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 5 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• maremun / swg
  Sliced Wasserstein Generator
  ☆23Updated 6 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 3 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆37Updated 6 years ago
• guanghelee / iclr19-robust-locally-linear-nets
  "Towards Robust, Locally Linear Deep Networks" (ICLR 2019)
  ☆9Updated 5 years ago
• jhjacobsen / fully-invertible-revnet
  ☆31Updated 4 years ago
• human-analysis / MaxEnt-ARL
  PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
  ☆27Updated 5 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 5 years ago
• enijkamp / triangle
  Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907
  ☆16Updated last year
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 7 years ago
• BaoWangMath / EnResNet
  ☆19Updated 5 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 years ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆44Updated 3 years ago
• duchi-lab / certifiable-distributional-robustness
  Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)
  ☆45Updated 6 years ago
• ron-amit / meta-learning-adjusting-priors
  Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018
  ☆22Updated 5 years ago