Path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.
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Updated
Aug 28, 2017 - C++
Path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.
Path planner that creates smooth, safe trajectories for an autonomous vehicle to follow along a 3 lane highway with traffic. The path planner is able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.
C++ library for implementing deep feed-forward neural networks (DFF)
A TensorFlow loss function based on a approximation of the normalized Wilcoxon-Mann-Whitney (WMW) statistic.
With OCTAVE - For the exercises details, kindly read ex1.pdf in the repo.
Machine learning regression analysis on salary data and cost function optimization with 3D visualization.
Revolutionary single-pass build orchestration framework that eliminates multi-pass compilation complexity through cost-based dependency resolution. Implements deterministic build workflows with mathematical guarantees, component isolation protocols, and governance-driven architecture management.
This repository guides you in building deep neural networks from scratch using Python and NumPy, covering key concepts like forward propagation and cost functions for binary classification.
PolyBuild POC offers a streamlined approach to build orchestration by simplifying dependency resolution. This project aims to replace complex multi-pass systems with efficient single-pass workflows, enhancing performance and reliability. 🛠️🌟
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