Alternatives and similar repositories for IDM

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

• justincui03 / tesla
  ☆29Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆73Updated 5 months ago
• ncsu-dk-lab / Acc-DD
  ☆14Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆111Updated last year
• VICO-UoE / IT-GAN
  ☆23Updated last year
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆21Updated last year
• Jhyun17 / DeYO
  ☆23Updated last year
• yaolu-zjut / DDInterpreter
  ☆16Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• yolky / RCIG
  ☆14Updated 2 years ago
• 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 last year
• sdh0818 / FreD
  Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
  ☆30Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 7 months ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• zhangmarvin / memo
  ☆67Updated 2 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆129Updated 8 months ago
• jiamingzhang94 / Adversarial-Prompt-Tuning
  ECCV2024: Adversarial Prompt Tuning for Vision-Language Models
  ☆27Updated 8 months ago
• UCDvision / PatchSearch
  Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"
  ☆10Updated 2 years ago
• Hansong-Zhang / M3D
  AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
  ☆25Updated last year
• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆24Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 10 months ago
• SJShin-AI / LCMat
  Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)
  ☆21Updated 2 years ago
• VITA-Group / ProgressiveDD
  [ICLR 2024] "Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality" by Xuxi Chen*, Yu Yang*, Zhangyang Wang, Baha…
  ☆14Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆81Updated last year
• TomSheng21 / tta-vlm
  [TTA-VLM] A Benchmark of Test-Time Adaptation for Vision-Language Models
  ☆16Updated 2 months ago