Alternatives and similar repositories for InfoGrowth

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

• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• JngwenYe / LIRF
  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
  ☆21Updated 3 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 10 months ago
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]
  ☆17Updated 2 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆75Updated 8 months ago
• yaolu-zjut / DDInterpreter
  ☆15Updated last year
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆15Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated last year
• NUS-HPC-AI-Lab / DD-Ranking
  Data distillation benchmark
  ☆68Updated 4 months ago
• suduo94 / D4M
  A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"
  ☆34Updated last year
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated 10 months ago
• liuzhuang13 / bias
  ☆112Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆259Updated 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 …
  ☆130Updated 11 months ago
• YBZh / OpenOOD-VLM
  ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models
  ☆28Updated 10 months ago
• taolinzhang / BoostAdapter
  [NeurIPS2024] An official pytorch implement of the paper: BoostAdapter: Improving Test-Time Adaptation via Regional Bootstrapping
  ☆17Updated 7 months ago
• MediaBrain-SJTU / OC_LT
  Official code base for "Long-Tailed Diffusion Models With Oriented Calibration" ICLR2024
  ☆14Updated last year
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆29Updated last year
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆41Updated last year
• NUS-HPC-AI-Lab / EDF
  ☆21Updated 11 months ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year
• munanning / MADAv2
  MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
  ☆25Updated 2 years ago
• yu-rp / Distribution-Shift-Iverson
  ☆41Updated 2 years ago
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆73Updated 2 years ago