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. /sktime/sktime
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 7d agoLive · 20h ago

sktime/sktime

A unified framework for machine learning with time series

Lineage graph

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

Implements

paperA Lightweight Self-Supervised Learning Framework for Multivariate Time Series using Hierarchical-JEPA on ECG DatapaperForecasting With LLMs: Improved Generalization Through Feature SteeringpaperHow Good Can Linear Models Be for Time-Series Forecasting?

Implements (incoming)

paperRMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models

Related across the graph

paperRMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation ModelspaperHow Good Can Linear Models Be for Time-Series Forecasting?paperA Lightweight Self-Supervised Learning Framework for Multivariate Time Series using Hierarchical-JEPA on ECG DatapaperForecasting With LLMs: Improved Generalization Through Feature Steering
Knowledge path·PRMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models→PHow Good Can Linear Models Be for Time-Series Forecasting?→PA Lightweight Self-Supervised Learning Framework for Multivariate Time Series using Hierarchical-JEPA on ECG Data→Rsktime/sktime

Topics

aianomaly-detectionchangepoint-detectiondata-miningdata-scienceforecastinghacktoberfestmachine-learningscikit-learnsktime

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score9841