repoGitLabTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
hnminh1005/ds-component-pipeline
Data Science / Machine Learning Pipeline component for training and deploying ML models using CI
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) · 51%Monitoring discriminative ML models using Amazon SageMaker AI with MLflow →
- PossiblePossibly related (embedding) · 47%Top AI cloud platforms for deploying open source models in production, GPU AI workloads, and enterprise model training and inference - TyN Magazine →
- PossiblePossibly related (embedding) · 46%Instead of decentralized training effort we should build the “One dataset” →
- PossiblePossibly related (embedding) · 50%Lattice Labs →
- PossiblePossibly related (embedding) · 48%An MCP workflow for implementing deep-learning models from an engineering plan [R] →
- PossiblePossibly related (embedding) · 53%ChannelFlow-Tools: A Configuration-Driven Pipeline for Generating Machine-Learning-Ready Datasets of 3D … - GameDev.net →
Covers
newsMonitoring discriminative ML models using Amazon SageMaker AI with MLflownewsTop AI cloud platforms for deploying open source models in production, GPU AI workloads, and enterprise model training and inference - TyN MagazinenewsInstead of decentralized training effort we should build the “One dataset”
Related to
Covers (incoming)
Related across the graph
newsMonitoring discriminative ML models using Amazon SageMaker AI with MLflownewsTop AI cloud platforms for deploying open source models in production, GPU AI workloads, and enterprise model training and inference - TyN MagazinecompanyLattice LabsnewsInstead of decentralized training effort we should build the “One dataset”newsChannelFlow-Tools: A Configuration-Driven Pipeline for Generating Machine-Learning-Ready Datasets of 3D … - GameDev.netnewsAn MCP workflow for implementing deep-learning models from an engineering plan [R]