Alternatives and similar repositories for DREAM

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

• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆101Updated 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 8 months ago
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆71Updated 4 months ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆70Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆94Updated last year
• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆28Updated 9 months ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• GeorgeCazenavette / glad
  ☆114Updated 2 years ago
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆39Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆47Updated 2 years ago
• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• princetonvisualai / What-is-Dataset-Distillation-Learning
  ☆16Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆56Updated 6 months ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆183Updated last year
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated last year
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆88Updated 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 last year
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• zhangmarvin / memo
  ☆66Updated 2 years ago
• shiyegao / DDA
  Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"
  ☆80Updated last year
• mr-eggplant / SAR
  Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World
  ☆191Updated last year
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆259Updated last year
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets"
  ☆17Updated last month
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 9 months ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆111Updated last year