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)
  ☆28Updated last year
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• skzhang1 / IDEAL
  IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
  ☆59Updated last year
• justincui03 / dc_benchmark
  ☆88Updated 2 years ago
• nblt / TWA
  [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
  ☆27Updated 9 months ago
• NUS-HPC-AI-Lab / PAD
  Prioritize Alignment in Dataset Distillation
  ☆20Updated 11 months ago
• haizhongzheng / Coverage-centric-coreset-selection
  ☆39Updated 2 years ago
• zhangmarvin / memo
  ☆69Updated 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 2 years ago
• thu-ml / HiDe-Prompt
  Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
  ☆88Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆59Updated 10 months ago
• miniHuiHui / awesome-out-of-distribution-detection
  Paper of out of distribution detection and generalization
  ☆56Updated 2 years ago
• ZFancy / DivOE
  [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"
  ☆11Updated 2 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 …
  ☆131Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆77Updated 8 months ago
• LzVv123456 / Contrastive-Prototypical-Prompt
  ☆22Updated 8 months ago
• deeplearning-wisc / MCM
  PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
  ☆91Updated last year
• shaoshitong / EDC
  Elucidated Dataset Condensation (NeurIPS 2024)
  ☆21Updated last year
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆199Updated 3 years ago
• PatrickZH / DeepCore
  Code for coreset selection methods
  ☆245Updated 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
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆150Updated 2 years ago
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆98Updated last year
• vimar-gu / DiM
  Distilling Dataset into Generative Models
  ☆54Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆114Updated 2 years ago
• silicx / LoRS_Distill
  Code for our ICML'24 on multimodal dataset distillation
  ☆41Updated last year
• locuslab / FLYP
  Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models
  ☆104Updated 2 years ago
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆90Updated last year