Alternatives and similar repositories for ASWD

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

• zs-zhong / D-LADMM
  The code for Differentiable Linearized ADMM (ICML 2019)
  ☆36Updated 5 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 3 years ago
• MinhyungCho / riemannian-batch-normalization-pytorch
  Riemannian approach to batch normalization
  ☆22Updated 7 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆47Updated 4 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• btolooshams / crsae
  CRsAE (constrained recurrent sparse autoencoder)
  ☆14Updated 2 months ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• kimiandj / gsw
  ☆41Updated 5 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆24Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆103Updated 6 years ago
• JasonAltschuler / OptimalTransportNIPS17
  Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…
  ☆31Updated 7 years ago
• GiulsLu / OT-gradients
  ☆12Updated 6 years ago
• cunningham-lab / igr
  ☆30Updated 4 years ago
• joaomonteirof / hGAN
  Hyper volume maximization for GAN training
  ☆25Updated 6 years ago
• IBM / wasserstein-barycenters
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆22Updated 5 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• eddardd / WBTransport
  (ICASSP'21/CVPR'21) Wasserstein Barycenter Transport
  ☆31Updated 2 years ago
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆37Updated last year
• yogeshbalaji / Normalized-Wasserstein
  Normalized Wasserstein for Mixture Distributions
  ☆11Updated 2 years ago
• ermongroup / sparse_gen
  Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018
  ☆24Updated 7 years ago
• BaoWangMath / EnResNet
  ☆19Updated 5 years ago
• musikisomorphie / swd
  unsupervised video and image generation
  ☆58Updated 5 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆45Updated 6 years ago
• jsulam / Online-Dictionary-Learning-demo
  ☆41Updated 7 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆16Updated 4 years ago
• skolouri / swgmm
  Sliced Wasserstein Distance for Learning Gaussian Mixture Models
  ☆66Updated 2 years ago