open-mmlab/mmdetection3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

OpenMMLab Detection Toolbox and Benchmark

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

End-to-End Object Detection with Transformers

Reference PyTorch implementation and models for DINOv3

Open3D: A Modern Library for 3D Data Processing

OpenMMLab Semantic Segmentation Toolbox and Benchmark.