repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
keup/ml_for_physicists_tutorials
Contains materials for the coding tutorials part of the course "Machine learning for physicists" at UniPR. Clone and reuse freely.
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- PossiblePossibly related (embedding) · 57%IN 2026 ML BOOK OUTDATED? [D] →
- PossiblePossibly related (embedding) · 50%ipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data Science →
- PossiblePossibly related (embedding) · 50%Aalto University Team Develops Machine-Learning Optimized Pulses for Dark Matter Searches - Quantum Zeitgeist →
- PossiblePossibly related (embedding) · 49%Simplilearn and UC Santa Barbara Launch AI and Machine Learning Certificate Program - HPCwire →
- PossiblePossibly related (embedding) · 47%Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications →
- PossiblePossibly related (embedding) · 49%Blocks Online Coding Blocks Machine Learning GitHub Agconti Kaggle Titanic (Data Science Machine Learning With - fuelcarmagazine →
- PossiblePossibly related (embedding) · 55%Improved QLEDs with Machine Learning - Physics World →
- PossiblePossibly related (embedding) · 48%UniFFBench: evaluating universal machine learning force fields against experimental measurements - Nature →
Covers
newsIN 2026 ML BOOK OUTDATED? [D]newsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data SciencenewsAalto University Team Develops Machine-Learning Optimized Pulses for Dark Matter Searches - Quantum ZeitgeistnewsSimplilearn and UC Santa Barbara Launch AI and Machine Learning Certificate Program - HPCwire
Implements
Covers (incoming)
newsBlocks Online Coding Blocks Machine Learning GitHub Agconti Kaggle Titanic (Data Science Machine Learning With - fuelcarmagazinenewsImproved QLEDs with Machine Learning - Physics WorldnewsUniFFBench: evaluating universal machine learning force fields against experimental measurements - NaturenewsHow to get into Machine Learning [D]newsCoding Machine Learning Lecture 1 - YouTubenewsMIT researchers develop AI models that learn physics more efficently - Scientific Computing Worldnewshow can I learn Machine Learning for Astronomical use? [D]
Related across the graph
newsImproved QLEDs with Machine Learning - Physics WorldnewsBlocks Online Coding Blocks Machine Learning GitHub Agconti Kaggle Titanic (Data Science Machine Learning With - fuelcarmagazinenewshow can I learn Machine Learning for Astronomical use? [D]newsUniFFBench: evaluating universal machine learning force fields against experimental measurements - NaturenewsSimplilearn and UC Santa Barbara Launch AI and Machine Learning Certificate Program - HPCwirenewsHow to get into Machine Learning [D]newsIN 2026 ML BOOK OUTDATED? [D]paperQ-GAIN: A Python Package for Machine Learning and Physically Informed Analysis ApplicationsnewsipSpace.net Publishes Machine Learning Techniques Webinar - Let's Data SciencenewsCoding Machine Learning Lecture 1 - YouTubenewsMIT researchers develop AI models that learn physics more efficently - Scientific Computing WorldnewsAalto University Team Develops Machine-Learning Optimized Pulses for Dark Matter Searches - Quantum Zeitgeist