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neighborhood

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We proposes a novel and robust 3D object segmentation method, the Gaussian Density Model (GDM) algorithm. The algorithm works with point clouds scanned in the urban environment using the density metrics, based on existing quantity of features in the neighborhood. The LiDAR Velodyne 64E was used to scan urban environment.

  • Updated Oct 8, 2019
  • Python

Neighborhood-Aware Recommendation System: A comprehensive, scalable, and ethical recommendation system designed specifically for neighborhood-based social platforms. Built with PyTorch, featuring Graph Neural Networks, spatial attention mechanisms, and fairness-aware algorithms.

  • Updated Jun 27, 2025
  • Python

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