Alternatives and similar repositories for att_gconvs

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

• srebuffi / revisiting_saliency
  There and Back Again: Revisiting Backpropagation Saliency Methods (CVPR 2020)
  ☆52Updated 5 years ago
• happenwah / FVI_CV
  Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020
  ☆68Updated 5 years ago
• anguyen8 / sam
  Code for the CVPR 2020 [ORAL] paper "SAM: The Sensitivity of Attribution Methods to Hyperparameters"
  ☆27Updated 2 years ago
• ISosnovik / sesn
  Code for "Scale-Equivariant Steerable Networks"
  ☆70Updated 4 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆80Updated 3 years ago
• locuslab / mdeq
  [NeurIPS'20] Multiscale Deep Equilibrium Models
  ☆234Updated 4 years ago
• FrancescoSaverioZuppichini / PytorchModuleStorage
  A easy to use API to store outputs from forward/backward hooks in Pytorch
  ☆36Updated 6 years ago
• ParthaEth / Regularized_autoencoders-RAE-
  ☆123Updated 2 years ago
• chirag-agarwall / VOG
  Estimating Example Difficulty using Variance of Gradients
  ☆63Updated 2 years ago
• 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
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• timy90022 / DropLoss
  Implementation of DropLoss for Long-Tail Instance Segmentation in Pytorch
  ☆42Updated 4 years ago
• Kamnitsask / ssl_compact_clustering
  Semi-supervised learning via Compact Latent Space Clustering
  ☆49Updated 6 years ago
• SaynaEbrahimi / UCB
  Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
  ☆75Updated 4 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• pietz / simclr
  Unofficial PyTorch implementation of SimCLR by Chen et al.
  ☆17Updated 5 years ago
• fregu856 / ebms_regression
  Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …
  ☆104Updated 5 years ago
• adambielski / pytorch-gconv-experiments
  Experiments with Group Equivariant Convolutions in PyTorch
  ☆117Updated 2 years ago
• greydanus / excitationbp
  Visualizing how deep networks make decisions
  ☆66Updated 6 years ago
• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆79Updated 2 years ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆128Updated last year
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆73Updated 5 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆54Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 6 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• adambielski / GrouPy
  Group Equivariant Convolutional Neural Networks
  ☆101Updated 7 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year