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1. online-ml online-ml Public

   Demo system that runs an online ml model (including training and inference) based on streaming data with single script deploy to AWS using kops, kubernetes, terraform/opentofu, argocd, and kubeflow.

   Shell

2. ui ui Public

   Web UI to interact with and view realtime status of the system.

   TypeScript

3. ingest ingest Public

   Input data from external source and push it to stream handler (eg. redpanda/kafka).

   Rust

4. predict predict Public

   Inference component. Streams input from redpanda and runs against current model.

   Rust

5. train train Public

   Continuous training of model as data arrives.

   Rust

6. label label Public

   Classify/label the rolling data stream window.

   Rust