#clustering

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.

Multi‑language event‑driven microservices framework with built‑in Zod validation and type‑safe events. Runs anywhere — from embedded devices and routers to clustered servers. Pluggable architecture, secure‑by‑default, production‑ready.

SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries

A simple python implementation of Fuzzy C-means algorithm.

Botpress Internal Packages

AXIS — local-first, reservation-aware cluster substrate with deterministic placement, explicit cached reads, and guarded AI execution.

A library to synchronise records from the ETS tables between nodes

Hierarchical clustering in javascript