Alternatives and similar repositories for imagenet64x64:

Users that are interested in imagenet64x64 are comparing it to the libraries listed below

• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆68Updated 2 years ago
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆53Updated 2 years ago
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆71Updated 2 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆136Updated last year
• justincui03 / tesla
  ☆26Updated 10 months ago
• VICO-UoE / IT-GAN
  ☆23Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆56Updated 3 years ago
• jiawangbai / HAT
  Implementation of HAT https://arxiv.org/pdf/2204.00993
  ☆49Updated 11 months ago
• VainF / Diff-Pruning
  [NeurIPS 2023] Structural Pruning for Diffusion Models
  ☆182Updated 8 months ago
• GeorgeCazenavette / glad
  ☆113Updated last year
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆126Updated 3 months ago
• GuoQiushan / EGC
  ☆41Updated last year
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• iCGY96 / APR
  [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
  ☆75Updated 2 years ago
• chenweixin107 / TrojDiff
  ☆58Updated 2 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆64Updated 2 years ago
• huanranchen / DiffusionClassifier
  Official code implement of Robust Classification via a Single Diffusion Model
  ☆71Updated this week
• quanlin-wu / dmae
  Denoising Masked Autoencoders Help Robust Classification.
  ☆61Updated last year
• justincui03 / dc_benchmark
  ☆84Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆112Updated last year
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago
• tiger2017 / MLclf
  mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning /…
  ☆28Updated last year
• UniSerj / Random-Projection-Filters
  [CVPR 2023] Adversarial Robustness via Random Projection Filters
  ☆13Updated last year
• bolianchen / Data-Free-Learning-of-Student-Networks
  ☆21Updated 4 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆111Updated last year
• JinyiW / GuidedDiffusionPur
  ☆53Updated last year
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆26Updated last month
• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 3 years ago
• yongchaoz / diffusion_inversion
  Code for "Training on Thin Air: Improve Image Classification with Generated Data"
  ☆45Updated last year