Alternatives and similar repositories for Dataset-Pruning-TDDS

Users that are interested in Dataset-Pruning-TDDS are comparing it to the libraries listed below

• shaoshitong / G_VBSM_Dataset_Condensation
  [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)
  ☆29Updated 11 months ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆100Updated last year
• justincui03 / dc_benchmark
  ☆87Updated 2 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 7 months ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆243Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆29Updated 2 years ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆19Updated 10 months ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆112Updated last year
• haizhongzheng / Coverage-centric-coreset-selection
  ☆37Updated 2 years ago
• zhangmarvin / memo
  ☆67Updated 2 years ago
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆74Updated 7 months ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• numpee / CKA.pytorch
  A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration.
  ☆52Updated last year
• cvlab-columbia / ZSRobust4FoundationModel
  ☆43Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated 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
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆87Updated 10 months ago
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• yonseivnl / earl
  ☆15Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆22Updated 3 years ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated 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 2 years ago
• kaiwang960112 / CAFE
  This is a method of dataset condensation, and it has been accepted by CVPR-2022.
  ☆71Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆87Updated last year
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆63Updated 3 years ago
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated last year
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 years ago
• LzVv123456 / Contrastive-Prototypical-Prompt
  ☆21Updated 6 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆90Updated 11 months ago