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
  ☆70Updated 2 years ago
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• ehuynh1106 / TinyImageNet-Transformers
  Transformers trained on Tiny ImageNet
  ☆54Updated 2 years ago
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆60Updated 3 years ago
• GeorgeCazenavette / glad
  ☆113Updated 2 years ago
• jiawangbai / HAT
  Implementation of HAT https://arxiv.org/pdf/2204.00993
  ☆50Updated last year
• chenweixin107 / TrojDiff
  ☆59Updated 2 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆138Updated last year
• iCGY96 / APR
  [ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
  ☆75Updated 2 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆86Updated 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 …
  ☆128Updated 6 months ago
• justincui03 / tesla
  ☆28Updated last year
• yueb17 / PEMN
  ☆19Updated 2 years ago
• huanranchen / DiffusionClassifier
  Official code implement of Robust Classification via a Single Diffusion Model
  ☆84Updated 2 months ago
• da2so / Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
  ☆29Updated 3 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• zju-vipa / MosaicKD
  [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
  ☆44Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆39Updated 2 years ago
• youranonymousefriend / plugininversion
  Official Implementation for PlugIn Inversion
  ☆16Updated 3 years ago
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆21Updated 3 years ago
• JinyiW / GuidedDiffusionPur
  ☆57Updated last year
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆107Updated last year
• clear-nus / selective-amnesia
  ☆62Updated 8 months ago
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆33Updated 8 months ago
• yunqing-me / RICK
  [CVPR-2023] The IEEE/CVF Conference on Computer Vision and Pattern Recognition
  ☆24Updated last year
• nblt / DLDR
  [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
  ☆40Updated 2 years ago