Alternatives and similar repositories for PAD

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

• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆74Updated 7 months ago
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆29Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 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 …
  ☆129Updated 10 months ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆112Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆100Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆68Updated 3 months ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 2 years ago
• justincui03 / tesla
  ☆29Updated last year
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• justincui03 / dc_benchmark
  ☆87Updated 2 years ago
• yaolu-zjut / DDInterpreter
  ☆15Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆21Updated last year
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]
  ☆17Updated last month
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 9 months ago
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• uitrbn / IDM
  ☆27Updated 2 years ago
• zhangxin-xd / Dataset-Pruning-TDDS
  The official implementation of paper "Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning" （CVPR …
  ☆20Updated last year
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated 2 years ago
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated last year
• ncsu-dk-lab / Acc-DD
  ☆14Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year