Results for hyll

Hyli Smart Contract

Streaming ML in Rust -- gradient boosted trees, neural architectures (TTT/KAN/MoE/Mamba/SNN), AutoML, kernel methods, and composable pipelines

Core types, training engine, and inference for irithyll streaming ML — no_std + alloc, histogram binning, Hoeffding trees, SGBT ensembles, drift detection, f32 + int16 packed formats

A personal minimal simple made command line arguments parser.

Websocket-based client for Phoenix channels

Progressive disclosure CLI for OpenAPI documents — explore one layer at a time

Hyll provides a robust implementation of the HyperLogLog algorithm, enabling highly accurate cardinality estimation (counting unique items) with minimal memory footprint. Perfect for analytics, databases, and stream processing where tracking distinct elements in large datasets is required. This implementation offers configurable precision and serialization support.

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