Alternatives and similar repositories for TinyImageNet-Transformers:

Users that are interested in TinyImageNet-Transformers are comparing it to the libraries listed below

• dydjw9 / Efficient_SAM
  ☆57Updated last year
• jiawangbai / HAT
  Implementation of HAT https://arxiv.org/pdf/2204.00993
  ☆48Updated 9 months ago
• AngusDujw / SAF
  ☆33Updated 2 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• PatrickHua / EasyImageNet
  This repo shows an easy way to download imagenet on a remote server
  ☆45Updated 2 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• devansh20la / LPF-SGD
  ☆16Updated 2 years ago
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆25Updated last year
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆79Updated 11 months ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆57Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆54Updated 2 years ago
• yueb17 / DLTH
  ☆30Updated 2 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆63Updated 2 years ago
• xiusu / ViTAS
  Code for ViTAS_Vision Transformer Architecture Search
  ☆52Updated 3 years ago
• yukimasano / single-img-extrapolating
  Repo for the paper "Extrapolating from a Single Image to a Thousand Classes using Distillation"
  ☆37Updated 6 months ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆55Updated last year
• zhangmarvin / memo
  ☆60Updated last year
• MengLcool / AdaViT
  [CVPR-22] This is the official implementation of the paper "Adavit: Adaptive vision transformers for efficient image recognition".
  ☆50Updated 2 years ago
• lgcnsai / PS-KD-Pytorch
  Official PyTorch implementation of PS-KD
  ☆83Updated 2 years ago
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆15Updated 3 years ago
• nblt / RWP
  ☆11Updated 2 years ago
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• MingSun-Tse / Awesome-Efficient-ViT
  Recent Advances on Efficient Vision Transformers
  ☆49Updated 2 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆103Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated last year
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆60Updated last year
• VITA-Group / AugMax
  [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Z…
  ☆125Updated 3 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆34Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆46Updated 2 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…
  ☆77Updated last year