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. /mlr-org/mlr3extralearners
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 14h agoLive · 10h ago

mlr-org/mlr3extralearners

Extra learners for use in mlr3.

Lineage graph

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

Covers

newsIN 2026 ML BOOK OUTDATED? [D]newsAnyone looking into the new MARS2 Workshop/Competition @ ECCV 2026? I saw Tec-do posting it. [D]newsIntroducing Gemma 4 12B: a unified, encoder-free multimodal model

Implements

paperNAVER LABS Europe Submission to the Instruction-following 2026 Short TrackpaperBeyond 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Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialsnewsIN 2026 ML BOOK OUTDATED? [D]newsAnyone looking into the new MARS2 Workshop/Competition @ ECCV 2026? I saw Tec-do posting it. [D]paperNAVER LABS Europe Submission to the Instruction-following 2026 Short TracknewsIntroducing Gemma 4 12B: a unified, encoder-free multimodal model
Knowledge path·PBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials→NIN 2026 ML BOOK OUTDATED? [D]→NAnyone looking into the new MARS2 Workshop/Competition @ ECCV 2026? I saw Tec-do posting it. [D]→Rmlr-org/mlr3extralearners

Topics

machine-learningmlr3rr-package

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score114