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3d-machine-learning

A resource repository for 3D machine learning

algo

数据结构和算法必知必会的50个代码实现

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-self-supervised-learning-on-3d

Paper list for anyone who are interested in self-supervised learning on 3D point cloud.

campus3d

Campus3D point cloud dataset

colmap

COLMAP - Structure-from-Motion and Multi-View Stereo

cvpr2020-code

CVPR 2020 论文开源项目合集

deep-learning

personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN

depthcontrast

DepthContrast self-supervised learning for 3D

jakteristics

Compute point cloud geometric features from python

kpconv

Kernel Point Convolutions

kpconv-pytorch

Kernel Point Convolution implemented in PyTorch

lee-slam-source

SLAM 开发学习资源与经验分享

map-based-visual-localization

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

mapnik

Mapnik is an open source toolkit for developing mapping applications

occo

code for "OcCo: Occlusion Completion for Point Cloud Pre-Training"

osm-bright

A Carto template for OpenStreetMap data

osm-hybrid-carto

Transparent map stylesheet for OSM data written in carto. Designed as an overlay for aerial imagery.

pixpro

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

point-attention

point-cloud-processing-example

点云库PCL从入门到精通 书中配套案例

pointcnn

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pointcontrast

Code for paper <PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding>

pointnet

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

pointnet.pytorch

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

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

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

pointsift

a module for 3D semantic segmentation in point clouds.