A vector shuffling library that allows for in-place shuffling, or predictive sub-item shuffling.
Small, from-scratch MLP (dense feed-forward) for Rust: predictable, allocation-free hot path, batched training, and optional fast GEMM backend.
Experimental, nightly-only, type-safe machine learning library
FFI-free Rust implementation of LIBSVM-compatible SVM training and prediction
A machine learning package for Rust.
A fast and memory efficient Baccarat engine for calculating results, scoreboards, and related statistics.
Lightweight regression library (OLS, Ridge, Lasso, Elastic Net, WLS, LOESS, Polynomial) with 14 diagnostic tests, cross validation, and prediction intervals. Pure Rust - no external math dependencies. WASM, Python, FFI, and Excel XLL bindings.
Fast parallel Boruta feature selection algorithm in Rust — OOB permutation importance, classification and regression
CRAST, Context RNA Alignment Search Tool
Neural forecasting models implemented using ruv-FANN for time series forecasting
Tiered randomness for Rust: fast PRNG, process-unique seeds, and OS-backed cryptographic random — plus bounded ranges, strings, tokens, shuffle, sample, and weighted choice. Zero dependencies, MSRV 1.75.
Decision explainability — feature importance, SHAP-like attribution, decision trees