Alternatives and similar repositories for stable-weight-decay-regularization

Users that are interested in stable-weight-decay-regularization are comparing it to the libraries listed below

• zeke-xie / Positive-Negative-Momentum
  [ICML 2021] The official PyTorch Implementations of Positive-Negative Momentum Optimizers.
  ☆28Updated 2 years ago
• zeke-xie / artificial-neural-variability-for-deep-learning
  [Neural Computation, MIT Press] The PyTorch Implementation of Variable Optimizers/ Neural Variable Risk Minimization proposed in our Neur…
  ☆33Updated 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…
  ☆79Updated last year
• locuslab / deq-ddim
  ☆60Updated 2 years ago
• changlin31 / AutoProg
  (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
  ☆25Updated 2 months ago
• enyac-group / supmae
  This is a offical PyTorch/GPU implementation of SupMAE.
  ☆78Updated 2 years ago
• CownowAn / DaSS
  Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
  ☆24Updated last year
• hankook / AugSelf
  ☆45Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆35Updated 3 years ago
• dydjw9 / Efficient_SAM
  ☆58Updated 2 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆36Updated 10 months ago
• wjxts / RegularizedBN
  ☆21Updated 2 years ago
• zeke-xie / adaptive-inertia-adai
  [ICML 2022, Oral] The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our paper: "Adaptive Inertia: Dise…
  ☆150Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆56Updated 2 years ago
• huangleiBuaa / NormalizationSurvey
  This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
  ☆84Updated 3 years ago
• rishikksh20 / ResMLP-pytorch
  ResMLP: Feedforward networks for image classification with data-efficient training
  ☆42Updated 4 years ago
• Jack-Etheredge / early_convolutions_vit_pytorch
  (Unofficial) PyTorch implementation of the paper Early Convolutions Help Transformers See Better
  ☆43Updated 3 years ago
• haofanwang / awesome-mlp-papers
  Recent Advances in MLP-based Models (MLP is all you need!)
  ☆115Updated 2 years ago
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆62Updated last year
• sndnyang / Diffusion_ViT
  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"
  ☆49Updated 2 years ago
• sangyun884 / fast-ode
  Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
  ☆83Updated 3 months ago
• zhifengkong / FastDPM_pytorch
  Official PyTorch implementation for FastDPM, a fast sampling algorithm for diffusion probabilistic models
  ☆84Updated 3 years ago
• Rose-STL-Lab / Teleportation-Optimization
  [ICLR 2024] Improving Convergence and Generalization Using Parameter Symmetries
  ☆29Updated 11 months ago
• tcl9876 / Denoising_Student
  ☆29Updated 4 years ago
• changliu00 / cygen
  Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)
  ☆45Updated 3 years ago
• fundamentalvision / Siamese-Image-Modeling
  ☆16Updated last year
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆80Updated 2 years ago
• catalys1 / mae-pytorch
  Simple MAE (masked autoencoders) with pytorch and pytorch-lightning.
  ☆43Updated last year
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆25Updated 3 years ago
• forever208 / EDM-ES
  [ICLR 2024] Official code for the paper 'Elucidating the Exposure Bias in Diffusion Models'
  ☆26Updated last year