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attentions_in_3d_detection

Investigating Attention Mechanism in 3D Point Cloud Object Detection (3DV 2021)

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

dgcnn.pytorch

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gacnet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

itcast_interview

黑马程序员 2023 Java面试专题课 新版Java面试专题视频教程，java八股文面试全套真题+深度详解（含大厂高频面试真题）

myrpcfromzero

从零开始，手写一个RPC，任何人都能看懂

openpoints

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

openvino_yolov3

pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

pointcloud-classification-pytorch

This repository contains code for training and visualizing a point cloud classification model using PyTorch. The model is based on the PointNet architecture and can be trained on two different datasets: ModelNet and ScanObjectNN.

pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

pointnet3

Pytorch implementation for pointnet1 + pointnet2(pointnet++).

pointnet_pointnet2_pytorch

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

pointnext

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

pytorch_geometric

Graph Neural Network Library for PyTorch

relation-shape-cnn

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

scanobjectnn

Code for Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data, ICCV 2019