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A list of papers and datasets about point cloud analysis (processing)
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI
Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
Implementation of Graph Convolutional Networks in TensorFlow
Hyperbolic Graph Neural Networks
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Pytorch implementation of PCT: Point Cloud Transformer
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Graph Convolutional Networks in PyTorch
PyTorch implementation of DGCNN
Relation-Shape-CNN for Pytorch 1.0
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
torG
YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.