hanzo-ml

Hanzo ML — training and inference.

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Hanzo ML

Training, fine-tuning, and inference infrastructure.

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.profile
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hanzo-ml org profile
Updated 2026-07-25 19:48:52 +00:00
trainer
Go 0 0 0
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
Go 0 0 0
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
Python 0 0 0
Spark Operator — Apache Spark workloads on Kubernetes. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 04:03:14 +00:00
pipelines
Python 0 0 0
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
kubeflow
Markdown 0 0 0
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
kuberay
Go 0 0 0
Ray Operator — Distributed Python workloads on Kubernetes via Ray. Brand-neutral; consume any @<org>/brand.
Updated 2026-07-06 03:58:50 +00:00
kserve
Go 0 0 0
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
katib
Python 0 0 0
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