Alternatives and similar repositories for FTD-distillation

Users that are interested in FTD-distillation are comparing it to the libraries listed below

• DataDistillation / DataDAM
  [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
  ☆34Updated last year
• yaolu-zjut / DDInterpreter
  ☆15Updated 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
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆74Updated 6 months ago
• yu-rp / Distribution-Shift-Iverson
  ☆42Updated 2 years ago
• uitrbn / IDM
  ☆26Updated 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
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆101Updated last year
• yqy2001 / A-InfoNCE
  [ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"
  ☆24Updated 2 years ago
• justincui03 / dc_benchmark
  ☆87Updated 2 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆58Updated 8 months ago
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated 11 months 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 2 years ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆19Updated 9 months ago
• justincui03 / tesla
  ☆29Updated last year
• VICO-UoE / IT-GAN
  ☆23Updated last year
• he-y / Multisize-Dataset-Condensation
  Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)
  ☆14Updated last year
• ichbill / LTDD
  Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]
  ☆17Updated last month
• GeorgeCazenavette / glad
  ☆115Updated 2 years ago
• MIV-XJTU / SPEED
  PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.
  ☆21Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• yolky / RCIG
  ☆14Updated 2 years ago
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated last year
• JngwenYe / LIRF
  Code for ECCV 2022 paper “Learning with Recoverable Forgetting”
  ☆21Updated 3 years ago
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆45Updated 2 years ago