Serve machine learning models in Elixir. Production ML inference for Phoenix and the BEAM: OTP supervision, worker pools, dynamic batching, caching, telemetry, model versioning and zero-downtime canary rollout around any backend — Nx, Bumblebee, ONNX, Python or a remote service.
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2 Dependencies
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2 Dependencies
Dependencies of ml_serve
2 dependencies| Package | Requirement |
|---|---|
| telemetry |
~> 1.0
|
| telemetry_metrics |
~> 0.6 or ~> 1.0
optional
|
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Dependency Config
mix.exs
rebar.config
Gleam
erlang.mk
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