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. /saccofrancesco/deepshot
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 22d ago

saccofrancesco/deepshot

AI-powered NBA game outcome predictor that uses advanced team stats and trend-based features to forecast winners and track model performance

Lineage graph

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

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 46%General Intuition’s $2.3B bet that video games can train AI agents for the real world →
  • PossiblePossibly related (embedding) · 47%James Deller on AI, Machine Learning and the Future of Professional Football - openPR.com →
  • PossiblePossibly related (embedding) · 48%Goal26 Research Examines AI and Human Predictions Across More Than 50,000 FIFA World Cup 2026 Brackets - EIN News →

Covers

newsGeneral Intuition’s $2.3B bet that video games can train AI agents for the real world

Covers (incoming)

newsJames Deller on AI, Machine Learning and the Future of Professional Football - openPR.comnewsGoal26 Research Examines AI and Human Predictions Across More Than 50,000 FIFA World Cup 2026 Brackets - EIN News

Related across the graph

newsGeneral Intuition’s $2.3B bet that video games can train AI agents for the real worldnewsJames Deller on AI, Machine Learning and the Future of Professional Football - openPR.comnewsGoal26 Research Examines AI and Human Predictions Across More Than 50,000 FIFA World Cup 2026 Brackets - EIN News
Knowledge path·NGeneral Intuition’s $2.3B bet that video games can train AI agents for the real world→NJames Deller on AI, Machine Learning and the Future of Professional Football - openPR.com→NGoal26 Research Examines AI and Human Predictions Across More Than 50,000 FIFA World Cup 2026 Brackets - EIN News→Rsaccofrancesco/deepshot

Topics

aibasketballdata-sciencefeature-engineeringjupyter-notebookmachine-learningmodel-evaluationnbanba-predictionnba-predictions

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score168