Model Persistence

SyncSwift

A sync layer for SwiftData apps that handles JSON-to-model mapping, deterministic diffing, and reactive local reads.

ChefBoostPython

A lightweight Python decision tree framework supporting ID3, C4.5, CART, CHAID, regression trees, gradient boosting, random forest, and AdaBoost with categorical feature support.

RFGo

A parallel Random Forest implementation in Go for classification and regression tasks.

gonetGo

A Go module implementing multi-layer neural networks for machine learning tasks.

KinhoPython

A Python library for building and training feedforward neural networks with GPU support and mini-batch learning.