Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
ANGESTROM

The Intelligence Layer of Humanity. Everything AI. All in One Place.

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom Intelligence Private Limited. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /libxsmm/libxsmm
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 6h agoLive · 22m ago

libxsmm/libxsmm

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Lineage graph

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

Covers

newsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]news[D] Looking for Machine Learning / Deep Learning Final Year Project Ideas[D]

Implements

paperHierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon OptimizationpaperSLORR: Simple and Efficient In-Training Low-Rank RegularizationpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

Related across the graph

paperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperSLORR: Simple and Efficient In-Training Low-Rank RegularizationnewsH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]news[D] Looking for Machine Learning / Deep Learning Final Year Project Ideas[D]paperHierarchical Muon: Tiled Newton-Schulz Updates for Efficient Muon Optimization
Knowledge path·PBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials→PSLORR: Simple and Efficient In-Training Low-Rank Regularization→NH64LM: A 249M-parameter Mixture-of-Experts Transformer built from scratch in PyTorch [P]→Rlibxsmm/libxsmm

Topics

amxavxavx2avx512bfloat16blasconvolutionfortraninteljit

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score966