Alternatives and similar repositories for CKN-Pytorch-image

Users that are interested in CKN-Pytorch-image are comparing it to the libraries listed below

• neale / HyperGAN
  Generative Model for Neural Networks
  ☆24Updated 5 years ago
• MinhyungCho / riemannian-batch-normalization-pytorch
  Riemannian approach to batch normalization
  ☆23Updated 8 years ago
• senya-ashukha / real-nvp-pytorch
  Real NVP PyTorch a Minimal Working Example | Normalizing Flow
  ☆142Updated 5 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• PolinaKirichenko / flows_ood
  ☆88Updated 4 years ago
• josipd / torch-two-sample
  A PyTorch library for two-sample tests
  ☆242Updated 2 months ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆101Updated 7 years ago
• harryliew / WGAN-TS
  Implementation of WGAN-TS
  ☆13Updated 6 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆58Updated 5 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆130Updated 5 years ago
• umutsimsekli / sgd_tail_index
  The codebase for the paper "A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks"
  ☆25Updated 6 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 7 years ago
• steveli / pytorch-sqrtm
  Matrix square root with gradient support for PyTorch
  ☆70Updated 3 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 6 years ago
• widedeepnetworks / widedeepnetworks
  Code for the paper Gaussian process behaviour in wide deep networks
  ☆46Updated 7 years ago
• alexalemi / vib_demo
  ☆94Updated 4 years ago
• jhjacobsen / fully-invertible-revnet
  ☆31Updated 5 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆254Updated 4 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆237Updated 4 years ago
• twuilliam / nodes-info
  Resources on how to use the GPU clusters
  ☆33Updated 5 years ago
• rtqichen / residual-flows
  code for "Residual Flows for Invertible Generative Modeling".
  ☆273Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 6 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆39Updated 7 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆103Updated 8 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆181Updated 4 years ago
• riannevdberg / sylvester-flows
  ☆181Updated 6 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated 2 years ago