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QiangZhou's starred repositories

2019-wuhan-coronavirus-data

2019 Wuhan Coronavirus data (COVID-19 / 2019-nCoV)

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wuhan2020

新型冠状病毒防疫信息收集平台

MIT598800

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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Recent_SLAM_Research

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新

271800

A-LOAM

Advanced implementation of LOAM

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research

dataset and code for 2016 paper "Learning a Driving Simulator"

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LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

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hdl_graph_slam

3D LIDAR-based Graph SLAM

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laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

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cartographer-configuration

Here are my configuration for running cartographer

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RNN_Signal_Modeler

A General Purpose Signal Modeler using Recurrent Neural Networks

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xivo

X Inertial-aided Visual Odometry

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shared-scripts

Commonly used scripts

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DepthComplete

Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)

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Rectlabel-support

RectLabel is an offline image annotation tool for object detection and segmentation.

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SemanticSegmentationModel

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FacadeParsing

A project to parsing building facade from point cloud.

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FacadeParsing

Master Semester Project at Swiss Data Science Center @EPFL

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Pointnet_Pointnet2_pytorch

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

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MoGA

MoGA: Searching Beyond MobileNetV3

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GSPN

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

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SGPN

SGPN:Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation, CVPR, 2018

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SAGNet

Structure-aware Generative Network for 3D-Shape Modeling (SIGGRAPH 2019)

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SuperPointPretrainedNetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

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David-Silver-Reinforcement-learning

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

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LeetCode

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

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Efficient-PyTorch

My best practice of training large dataset using PyTorch.

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Scan2CAD

[CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

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PointFlow

PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

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