Alternatives and similar repositories for DD-Ranking

Users that are interested in DD-Ranking are comparing it to the libraries listed below

• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆104Updated last year
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆20Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆102Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆78Updated 9 months ago
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆132Updated last year
• yu-rp / Dimple
  Dimple, the first Discrete Diffusion Multimodal Large Language Model
  ☆112Updated 4 months ago
• czg1225 / VeriThinker
  [NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient
  ☆62Updated 2 months ago
• yu-rp / NeuralLineage
  Code for CVPR 2024 Oral "Neural Lineage"
  ☆17Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• BAAI-DCAI / Dataset-Pruning
  Dataset pruning for ImageNet and LAION-2B.
  ☆79Updated last year
• haiquanlu / AlphaPruning
  [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
  ☆29Updated 5 months ago
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated last year
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆36Updated last year
• techmonsterwang / iLLaMA
  Adapting LLaMA Decoder to Vision Transformer
  ☆30Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆261Updated last year
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• yolky / RCIG
  ☆14Updated 2 years ago
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated 10 months ago
• KD-TAO / DyCoke
  [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models
  ☆90Updated 2 weeks ago
• NUS-HPC-AI-Lab / Dynamic-Tuning
  The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
  ☆51Updated 11 months ago
• NUS-HPC-AI-Lab / R-MeeTo
  Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …
  ☆40Updated 11 months ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆41Updated last year
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• czg1225 / dParallel
  dParallel: Learnable Parallel Decoding for dLLMs
  ☆42Updated last month
• shiqichen17 / VLM_Merging
  Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)
  ☆86Updated 2 months ago
• WalkerWorldPeace / MLLMerging
  Official implementation of "Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging".
  ☆39Updated last month
• horseee / dKV-Cache
  [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models
  ☆121Updated 6 months ago
• zhijie-group / Orthus
  ☆64Updated 6 months ago