Alternatives and similar repositories for SRe2L

Users that are interested in SRe2L are comparing it to the libraries listed below

• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆104Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆81Updated 11 months ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆20Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆72Updated 7 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆33Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆43Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 3 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆63Updated last year
• BAAI-DCAI / Training-Data-Synthesis
  [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching
  ☆78Updated 2 years ago
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]
  ☆19Updated 5 months ago
• GeorgeCazenavette / glad
  ☆114Updated 2 years ago
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆79Updated last year
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆94Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 3 years ago
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆17Updated last year
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆38Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆192Updated 2 years ago
• liuzhuang13 / bias
  ☆113Updated last year
• zhengli97 / DM-KD
  Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)
  ☆49Updated 2 years ago
• justincui03 / tesla
  ☆30Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆109Updated 2 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆46Updated last year
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆21Updated last year
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆75Updated 2 years ago