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Practice building pizza.owl ontology using Protege modeling tool, base on Michael DeBillis' great guide.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Curated list of project-based tutorials
An experimental UI for text-to-knowledge-graph generation
A list of ontologies related to Linked Building Data
Fine-tune Facebook's DETR (DEtection TRansformer) on Colaboratory.
Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer
IFCtoRDF is a set of reusable Java components that allows to parse IFC-SPF files and convert them into RDF graphs.
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
A brief introduction to the quaternions and its applications in 3D geometry.
Graph Neural Network Library for PyTorch
[CVPR 2024, highlight] Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
Framework for building and testing network topologies, with support for pytest.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
[ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"
A faster pytorch implementation of faster r-cnn
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
End-to-End Object Detection with Transformers
OpenMMLab Detection Toolbox and Benchmark
Towards Scene Graph Descriptions for Spatial Representations in the Built Environment
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
OpenMMLab's next-generation platform for general 3D object detection.
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
[ICCV 2023] SGAligner : 3D Scene Alignment with Scene Graphs