Alternatives and similar repositories for complex-grad-norm

Users that are interested in complex-grad-norm are comparing it to the libraries listed below

• yingrliu / TAAN-MTL
  Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
  ☆17Updated 5 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated last year
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆23Updated 3 years ago
• alibaba-edu / Ranking-based-Instance-Selection
  Ranking-based-Instance-Selection
  ☆32Updated 3 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• MGoibert / Label_smoothing
  Code for the paper Adversarial Robustness via Adversarial Label-Smoothing
  ☆11Updated 5 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• vinodkkurmi / DiscriminatorDomainAdaptation
  ☆10Updated 5 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• safpla / AutoLossRelease
  ☆19Updated 6 years ago
• switchablenorms / AdaX
  AdaX: Adaptive Gradient Descent with Exponential Long Term Momery
  ☆34Updated 5 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated 2 years ago
• thuml / transferable-memory
  ☆20Updated 4 years ago
• xuguodong03 / UNIXKD
  ☆27Updated 2 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆32Updated 4 years ago
• jhoon-oh / kd_data
  IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
  ☆41Updated 2 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 3 years ago
• kaung-htet-myat / Multi-teachers-Knowledge-Distillation
  Distilling knowledge from ensemble of multiple teacher networks to student network with multiple heads
  ☆8Updated 3 years ago
• Zhaoxiangyun / Multi-Task-Modulation-Module
  Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"
  ☆32Updated 6 years ago
• mzalaya / screenkhorn
  Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"
  ☆10Updated 5 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 5 years ago