This repository provides a PyTorch implementation of PointNet and PointNet++ neural network architectures for processing 3D point clouds. It includes custom CUDA operations for point cloud ops and supports multi-GPU training via DataParallel. The training pipeline is built with PyTorch Lightning and Hydra for experiment configuration. It supports classification and semantic segmentation tasks on 3D point cloud data.