repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
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) · 29%Gradient boosting with vector-valued leafs →
“Possibly related via embedding similarity 0.58 (not asserted). Timestamp check: artifact after paper (+4d).”
- PossiblePossibly related (embedding) · 49%Machine Learning Boost System for Biomedical Imaging, Autonomous Vehicle Sensors - Technology Networks →