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Back to becarefulofyournaoke/bps

Projects sharing features with BeCarefulOfYournaoke BPS

16 open-source projects similar to becarefulofyournaoke/bps, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • andyj1/mdmA

    andyj1/mdm

    0View on GitHub↗

    Official implementation of Multimodal Distribution Matching for Vision-Language Dataset Distillation, a method for condensing a large vision-language dataset into smaller synthetic sets while preserving its downstream performance.

    View on GitHub↗0
  • angusdujw/diversity-driven-synthesisAngusDujw avatar

    AngusDujw/Diversity-Driven-Synthesis

    8View on GitHub↗

    The sharp increase in data-related expenses has motivated research into condensing datasets while retaining the most informative features. Dataset distillation has thus recently come to the fore. This paradigm generates synthetic datasets that are representative enough to replace the original…

    Python
    View on GitHub↗8
  • brian-moser/prismBrian-Moser avatar

    Brian-Moser/prism

    1View on GitHub↗

    Official PyTorch implementation of paper (TMLR'26) PRISM : Diversifying Dataset Distillation by Decoupling Architectural Priors.

    Python
    View on GitHub↗1
  • dil-iith/direDIL-IITH avatar

    DIL-IITH/DiRe

    1View on GitHub↗

    Code for WACV 2026 paper "DiRe: Diversity-promoting Regularization for Dataset Condensation"

    Python
    View on GitHub↗1
  • hips/hypergradHIPS avatar

    HIPS/hypergrad

    297View on GitHub↗

    Source code for http://arxiv.org/abs/1502.03492

    Python
    View on GitHub↗297

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jiacheng8/cv-ddJiacheng8 avatar

Jiacheng8/CV-DD

15View on GitHub↗

Jiacheng Cui, Zhaoyi Li, Xiaochen Ma, Xinyue Bi, Yaxin Luo, Zhiqiang Shen

Shell
View on GitHub↗15
  • jiacheng8/fadrmJiacheng8 avatar

    Jiacheng8/FADRM

    12View on GitHub↗

    Fast and Accurate Data Residual Matching for Dataset Distillation

    Python
    View on GitHub↗12
  • lins-lab/rdedLINs-lab avatar

    LINs-lab/RDED

    83View on GitHub↗

    Peng Sun, Bei Shi, Daiwei Yu, Tao Lin

    Python
    View on GitHub↗83
  • miv-xjtu/cuddMIV-XJTU avatar

    MIV-XJTU/CUDD

    4View on GitHub↗

    Zhiheng Ma , Anjia Cao , Funing Yang , Yihong Gong , Xing Wei

    Python
    View on GitHub↗4
  • shaoshitong/edcshaoshitong avatar

    shaoshitong/EDC

    20View on GitHub↗

    Offical Implementation of our research:

    Python
    View on GitHub↗20
  • sindresorhus/awesomesindresorhus avatar

    sindresorhus/awesome

    476,211View on GitHub↗

    This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks, and educational materials. It functions as an open-source knowledge base, organizing diverse engineering domains and technical resources into a structured taxonomy to assist developers in discovering high-quality content. The directory distinguishes itself through a decentralized peer-review model, where independent contributors curate, verify, and update entries to ensure accuracy and relevance. All information is stored in a version-controlled, flat-file markdown format, whic

    awesomeawesome-listlists
    View on GitHub↗476,211
  • ssnl/dataset-distillationSsnL avatar

    SsnL/dataset-distillation

    825View on GitHub↗

    Project Page | Paper

    Python
    View on GitHub↗825
  • tmtuan1307/nrr-ddtmtuan1307 avatar

    tmtuan1307/NRR-DD

    0View on GitHub↗
    View on GitHub↗0
  • vila-lab/deltVILA-Lab avatar

    VILA-Lab/DELT

    28View on GitHub↗

    arXiv   Distilled Dataset

    Python
    View on GitHub↗28
  • vila-lab/sre2lV

    VILA-Lab/SRe2L

    0View on GitHub↗

    This is a collection of our work targeted at large-scale dataset distillation.

    View on GitHub↗0
  • zhangxin-xd/ufczhangxin-xd avatar

    zhangxin-xd/UFC

    8View on GitHub↗

    Left : Overview of dataset distillation paradigms. The first illustrates the traditional one instance for one class'' approach, where each instance is optimized exclusively for its pre-assigned label, creating implicit class barriers. The second illustrates our INFER method, designed for one…

    Python
    View on GitHub↗8