Results for model_pack

Pack and Unpack for all structs

Pack and Unpack for all structs

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

Rust kernel compiler, packed plan model, and optimizer passes for Tigrbl.

Trained-model packs for the Converge Engine — Decision Trees, Random Forests, SVMs (linfa) and ANFIS (Burn).

Core library for grex, the nested meta-repo manager: manifest, lockfile, scheduler, pack model, plugin traits.

High-performance neural network inference library with instruction-based execution

Zero-copy MLP runtime: parse a packed binary model (ZNPR v2), run scaler + forward pass, surface typed metadata, run masked argmin for codec-config selection. Core of zenjpeg/zenwebp/zenavif/zenjxl picker selection and zensim V0.4 perceptual distance.

Compile model weight files to standalone executable binaries

Pack and Unpack for all structs

Shared primitives for Greentic: TenantCtx, InvocationEnvelope, NodeError, ids.

Exact-aware packing carriers and feasibility replay for the Hyper ecosystem