Point-Cloud-Compression

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Open3D: A Modern Library for 3D Data Processing

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Web labeling tool for bitmap images and point clouds

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

A curated list for Efficient Large Language Models

PaddleSlim is an open-source library for deep model compression and architecture search.

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

A Github Action that automatically compresses JPEGs, PNGs and WebPs in Pull Requests.