A starter template for a self-learning crypto trading bot. Includes Python backend scripts for data ingestion, feature engineering, a simple ML model (Random Forest), a self-learning loop, backtesting utilities, sample reports, and a minimal web placeholder. This is a template- you'll need to add your own API keys
BaseNet Full Stack is a GitHub-ready full-stack application for generating random networks (graphs), visualizing them in a browser, and persisting them via a backend API.
aseNet is a small, dependency-free Python CLI and library for generating **random baseline network topologies** (undirected graphs). It is intended for demos, simulation scaffolding, test data, and quick prototyping.