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ZML

Machine learning inference

ZML is a machine-learning inference stack built with Zig, MLIR and Bazel. It aims to compile model workloads for different hardware backends. Start with its MNIST example to understand the build and execution flow, then check the documented model and accelerator support for your intended workload.

Languages: Zig