Alternatives and similar repositories for Efficient_Augmentation

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

• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆36Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 9 months ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆50Updated 7 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆130Updated 4 years ago
• haebeom-lee / metadrop
  Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)
  ☆27Updated 5 years ago
• henrikmarklund / arm
  ☆83Updated 2 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
• eladhoffer / fix_your_classifier
  ☆34Updated 7 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 5 years ago
• snap-stanford / crust
  [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
  ☆35Updated 4 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆48Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆104Updated 3 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆125Updated 2 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆57Updated 4 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 7 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated 2 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 8 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• XavierXiao / Likelihood-Regret
  Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
  ☆50Updated 4 years ago
• psmmettes / hpn
  Hyperspherical Prototype Networks
  ☆67Updated 5 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆42Updated 6 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 5 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 6 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• kingofspace0wzz / wae-rnf-lm
  Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…
  ☆63Updated 5 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 5 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago