Alternatives and similar repositories for stochastic-batch-normalization

Users that are interested in stochastic-batch-normalization are comparing it to the libraries listed below

• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• moskomule / l0.pytorch
  an implementation of L0 regularization with PyTorch
  ☆57Updated 7 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆49Updated 7 years ago
• jarrelscy / iResnet
  Non official pytorch implementation of i-Resnet, invertible residual networks.
  ☆25Updated 3 years ago
• happenwah / FVI_CV
  Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
  ☆68Updated 5 years ago
• ananyahjha93 / cycle-consistent-vae
  This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…
  ☆72Updated 6 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆91Updated 7 years ago
• BaoWangMath / DNN-DataDependentActivation
  The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
  ☆17Updated 5 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆105Updated 3 years ago
• Wizaron / coord-conv-pytorch
  An intriguing failing of convolutional neural networks and the CoordConv solution in PyTorch
  ☆72Updated 6 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆45Updated 6 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• KhrulkovV / geometry-score
  ☆117Updated 6 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 3 years ago
• christiancosgrove / pytorch-sagan
  Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…
  ☆39Updated 7 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• pclucas14 / pytorch-glow
  Pytorch Implementation of OpenAI's GLOW
  ☆94Updated 4 years ago
• yookoon / VLAE
  Code for Variational Laplace Autoencoders
  ☆54Updated 2 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 6 years ago
• brain-research / ncp
  Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
  ☆62Updated 5 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• ashafaei / OD-test
  OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)
  ☆62Updated last year
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆38Updated 7 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• janisgp / Sampling-free-Epistemic-Uncertainty
  Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
  ☆94Updated last year
• stanford-futuredata / equivariant-transformers
  Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…
  ☆92Updated 6 years ago