repoGitHubTrust 82 · PrimaryPublished 10d agoLive · 10d ago
Bouwles/DriftSync
A real-time machine learning system that predicts when a user is likely to make a mistake before it occurs.
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) · 47%IBM Granite Time Series models bring real-time forecasting and anomaly detection to Confluent Cloud - IBM →
- PossiblePossibly related (embedding) · 47%Real-Time Intelligence with IBM Time Series Models on Confluent →
- PossiblePossibly related (embedding) · 46%Machine learning smooths the road from idea to real-world climate impact - eurekalert.org →
- PossiblePossibly related (embedding) · 45%Machine Learning at the Cashier: Real-Time Fraud Detection Without Checkout Latency - Technology Org →
Covers
newsIBM Granite Time Series models bring real-time forecasting and anomaly detection to Confluent Cloud - IBMnewsReal-Time Intelligence with IBM Time Series Models on ConfluentnewsMachine learning smooths the road from idea to real-world climate impact - eurekalert.orgnewsMachine Learning at the Cashier: Real-Time Fraud Detection Without Checkout Latency - Technology Org
Related across the graph
newsReal-Time Intelligence with IBM Time Series Models on ConfluentnewsIBM Granite Time Series models bring real-time forecasting and anomaly detection to Confluent Cloud - IBMnewsMachine Learning at the Cashier: Real-Time Fraud Detection Without Checkout Latency - Technology OrgnewsMachine learning smooths the road from idea to real-world climate impact - eurekalert.org