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  1. Home
  2. /Repositories
  3. /deepspeedai/DeepSpeed
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repoGitHubTrust 82 · PrimaryPublished 5d agoLive · 9h ago

deepspeedai/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

  • Linked via github contributorjeffra →

    444 commits

  • Linked via github contributorloadams →

    268 commits

  • Linked via github contributortjruwase →

    181 commits

  • Linked via github contributorstas00 →

    169 commits

  • Linked via github contributormrwyattii →

    168 commits

  • Linked via github contributortohtana →

    158 commits

  • Linked via github contributorRezaYazdaniAminabadi →

    87 commits

  • Linked via github contributordelock →

    57 commits

  • Linked via github contributorawan-10 →

    46 commits

  • Linked via github contributorconglongli →

    44 commits

  • Linked via github contributornelyahu →

    43 commits

  • Linked via github contributorlekurile →

    38 commits

  • Linked via github contributorjomayeri →

    37 commits

  • Linked via github contributorinkcherry →

    33 commits

  • Linked via github contributorsamyam →

    33 commits

  • Linked via github contributorYejing-Lai →

    32 commits

  • Linked via github contributorcmikeh2 →

    31 commits

  • Linked via github contributorcli99 →

    31 commits

  • Linked via github contributordeepcharm →

    27 commits

  • Linked via github contributorHeyangQin →

    25 commits

  • Linked via github contributorrraminen →

    25 commits

  • Linked via github contributormolly-smith →

    24 commits

  • Linked via github contributorsfc-gh-truwase →

    23 commits

  • Linked via github contributorsamadejacobs →

    23 commits

  • Linked via github contributordigger-yu →

    23 commits

Covers

newsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]newsOpenAI and Broadcom unveil LLM-optimized inference chipnewsWe’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental risks

Implements

paperHASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural NetworkspaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

contributed_to (incoming)

personjeffrapersonloadamspersontjruwasepersonstas00personmrwyattiipersontohtanapersonRezaYazdaniAminabadipersondelockpersonawan-10personconglonglipersonnelyahupersonlekurilepersonjomayeripersoninkcherrypersonsamyampersonYejing-Laipersoncmikeh2personcli99persondeepcharmpersonHeyangQinpersonrraminenpersonmolly-smithpersonsfc-gh-truwasepersonsamadejacobspersondigger-yu

Implements (incoming)

paperSystematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures

Related across the graph

persontjruwasepersonawan-10personRezaYazdaniAminabadipersondelockpersondigger-yupersonrraminennewsOpenAI and Broadcom unveil LLM-optimized inference chippersonlekurilepersonsfc-gh-truwasepersonHeyangQinpersonYejing-LaipersonmrwyattiipaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentialspersoncli99paperHASTE: A Framework for Training-Free, Dynamic, and Steerable Compression of Pre-Trained Convolutional Neural NetworkspersondeepcharmpersonnelyahupersonsamadejacobspersonjomayeripersonloadamsnewsWe’re launching the Google DeepMind Accelerator program in Asia Pacific to tackle environmental riskspersoncmikeh2personinkcherrypersonstas00persontohtanapersonjeffranewsDeepSeek open-sources inference optimizations with 60–85% faster generation [pdf]paperSystematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architecturespersonsamyampersonmolly-smithpersonconglongli
Knowledge path··tjruwase→·awan-10→·RezaYazdaniAminabadi→Rdeepspeedai/DeepSpeed

Topics

billion-parameterscompressiondata-parallelismdeep-learninggpuinferencemachine-learningmixture-of-expertsmodel-parallelismpipeline-parallelism

Explore

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