Results for machine_learner

A comprehensive Python module for feature engineering, target computation, rolling window modeling, feature selection, and model evaluation, tailored for time-series forecasting and stock price analysis.

Advanced Raft consensus

Async runtime abstraction traits for Openraft

A reproducible Rust learning crate for the tg-rcore-tutorial ch6/ch8 SMP extension experiment with multi-hart safe boot and primary-only kernel execution.

Raft consensus implementation for ruvector distributed metadata

Training loop, metrics, and callbacks for ferrotorch

MiniBoosts: A collection of boosting algorithms written in Rust 🦀

Zero-config nonparametric supervised learning — KNN with auto-tuned K, metric learning, and VP-tree indexing

Machine learning framework with spatial modeling, conformal prediction, and gradient boosting competitive with C++

High-performance Gradient Boosted Decision Tree engine for large-scale tabular data

Interactive web-based Rust tutorial with exercises, progress tracking, and integrated terminal

Ursula durable-stream server: thread-per-core, multi-Raft, HTTP front door.

Benchmark client for Durable Streams servers: drives multi-stream write, SSE fan-out, and catch-up replay workloads against Ursula, the Durable Streams reference, and S2 Lite.