Alternatives and similar repositories for SOC

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

• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 3 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 3 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆48Updated 4 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• YannDubs / Mini_Decodable_Information_Bottleneck
  Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.
  ☆11Updated 5 years ago
• sowmaster / esjacobians
  Implementations of the algorithms described in the paper: On the Convergence Theory for Hessian-Free Bilevel Algorithms.
  ☆10Updated last year
• samaonline / Orthogonal-Convolutional-Neural-Networks
  Code for paper "Orthogonal Convolutional Neural Networks".
  ☆118Updated 4 years ago
• noowad93 / MIMO-pytorch
  PyTorch Implementation of MIMO (ICLR 2021)
  ☆16Updated 3 years ago
• VITA-Group / ViT-Anti-Oversmoothing
  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…
  ☆82Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 4 years ago
• EkdeepSLubana / BeyondBatchNorm
  Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"
  ☆17Updated 4 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• ExplainableML / BayesCap
  (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
  ☆51Updated 3 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 3 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆37Updated last year
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆12Updated 4 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆25Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆16Updated 4 years ago
• ashleylqx / AIB
  Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021
  ☆15Updated 4 years ago
• BaoWangMath / EnResNet
  ☆20Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆32Updated 3 years ago
• ajiljalal / code-cs-fairness
  ☆19Updated 2 years ago
• gallego-posada / constrained_sparsity
  Official implementation for the paper "Controlled Sparsity via Constrained Optimization"
  ☆11Updated 3 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 4 years ago
• okojoalg / raft-mlp
  ☆25Updated 4 years ago