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Implementing a neuromorphic predictive controller for racing cars that adapts to unknown track environments. Combines Pure Pursuit baseline control with a lightweight MLP correction network, featur…
This repository documents my journey in exploring the mathematics and inner workings of neural networks. By implementing an MLP from scratch with NumPy, I aim to strengthen my intuition about forwa…
“Experimental neural architecture that implements differentiable logic gates. Designed to explore how Boolean operations can be represented in continuous space, enabling gradient‑based learning of …
A system that orchestrates expert-based AI agents to achieve a variety of goals in a parallel environment to deliver a PoC report for Smart Contract Vulnerabilities.