hanzo-ml

Hanzo ML — training and inference.

hanzo-ml org profile
Updated 2026-07-25 19:48:52 +00:00
Trainer — Distributed model training operator (PyTorch, TensorFlow, MPI, XGBoost). Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:47:32 +00:00
Hub — Model catalog with versions, lineage, artifact metadata. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:03:14 +00:00
Spark Operator — Apache Spark workloads on Kubernetes. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:03:14 +00:00
Pipelines — The shipped visual ML pipeline DAG UI (React frontend) plus reference backend. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:03:14 +00:00
Notebooks + Profiles — Per-tenant Jupyter and dev environments + profile management on Kubernetes. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:03:14 +00:00
Ray Operator — Distributed Python workloads on Kubernetes via Ray. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 03:58:50 +00:00
Inference Serving — Standardized model serving on Kubernetes (routing, autoscaling, canary, traffic splits). Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 03:58:41 +00:00
Sweep (HPO/AutoML) — Hyperparameter tuning, AutoML, early stopping, neural architecture search. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 03:58:40 +00:00