Alternatives and similar repositories for dnn-topology

Users that are interested in dnn-topology are comparing it to the libraries listed below

• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆100Updated 4 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆113Updated 6 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆41Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 6 years ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• vinayprabhu / Disentanglement_NEURIPS_2019
  On disentangling the menagerie of disentanglement papers
  ☆27Updated 5 years ago
• bethgelab / InDomainGeneralizationBenchmark
  ☆34Updated 3 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆116Updated 4 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆41Updated 2 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆85Updated 3 years ago
• wiseodd / last_layer_laplace
  Last-layer Laplace approximation code examples
  ☆82Updated 3 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• Pervasive-AI-Lab / cvpr_clvision_challenge
  CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
  ☆59Updated 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
• BioroboticsLab / IBA-paper-code
  Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
  ☆77Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 4 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆149Updated 4 years ago
• locuslab / lml
  The Limited Multi-Label Projection Layer
  ☆58Updated 10 months ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆55Updated 6 years ago
• DonkeyShot21 / essential-BYOL
  An essential implementation of BYOL in PyTorch + PyTorch Lightning
  ☆51Updated 3 years ago
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆38Updated 4 years ago
• pietz / simclr
  Unofficial PyTorch implementation of SimCLR by Chen et al.
  ☆17Updated 5 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆79Updated 3 years ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 3 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆148Updated last year
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year