Alternatives and similar repositories for adversarial_lipschitz_regularization:

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

• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• apsarath / NRU
  ☆22Updated 5 years ago
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• KyleGoyette / nnRNN
  ☆24Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 5 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 4 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 5 years ago
• Holmeswww / PPOGAN
  ☆24Updated 8 months ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆62Updated 4 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆47Updated 6 years ago
• robintibor / generative-reversible
  ☆32Updated 6 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 4 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 7 years ago
• jlezama / disentangling-jacobian
  Source code for ICLR 2019 paper
  ☆24Updated 4 years ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 4 years ago
• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 3 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆40Updated 3 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• editable-ICLR2020 / editable
  ☆32Updated 5 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
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆22Updated 4 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• titu1994 / pytorch_odegan
  Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equa…
  ☆16Updated 4 years ago
• seraphlabs-ca / MIM
  Code for "MIM: Mutual Information Machine" paper.
  ☆16Updated 2 years ago