Pinned Repositories
3d-model-new-york-city
FME Workspaces created in the cours of generating a semantic digital 3D city model for the entire city of New York are available for download on this GitHub page.
amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
amundsendatabuilder
Data ingestion library for Amundsen to build graph and search index
amundsenfrontendlibrary
Front-end service library for Amundsen
amundsensearchlibrary
Search service library for Amundsen
Awesome-Geospatial
Long list of geospatial tools and resources
Building-Segmentation-Reference-Dataset
This is the data set used as the reference for the segmentation of LiDAR building point clouds
PointCloudSegmentation
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
segmenters_lib
The LiDAR segmenters library, for segmentation-based detection.
zero_to_deep_learning_udemy
Repository for the Zero to Deep Learning™ Video Course on Udemy
RJ2019's Repositories
RJ2019/PointCloudSegmentation
The research project based on Semantic KITTTI dataset, 3d Point Cloud Segmentation , Obstacle Detection
RJ2019/amundsen
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
RJ2019/amundsendatabuilder
Data ingestion library for Amundsen to build graph and search index
RJ2019/amundsenfrontendlibrary
Front-end service library for Amundsen
RJ2019/amundsensearchlibrary
Search service library for Amundsen
RJ2019/awesome-data-labeling
A curated list of awesome data labeling tools
RJ2019/bps
Efficient Learning on Point Clouds with Basis Point Sets
RJ2019/cartography
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
RJ2019/CSF
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
RJ2019/dxwg
Data Catalog Vocabulary (DCAT)
RJ2019/HarvardOpenData.github.io
Harvard's first open data catalog
RJ2019/lidar_camera_calibration
ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785
RJ2019/lidR
R package for airborne LiDAR data manipulation and visualisation for forestry application
RJ2019/magda
A federated, open-source data catalog for all your big data and small data
RJ2019/neo4j-graph-algorithms
Efficient Graph Algorithms for Neo4j
RJ2019/neomodel
An Object Graph Mapper (OGM) for the neo4j graph database
RJ2019/pcl
Point Cloud Library (PCL)
RJ2019/PDAL
PDAL is Point Data Abstraction Library. GDAL for point cloud data.
RJ2019/pointcloud
A PostgreSQL extension for storing point cloud (LIDAR) data.
RJ2019/PolyFit
Polygonal Surface Reconstruction from Point Clouds
RJ2019/postgis-vt-util
postgres helper functions for making vector tiles
RJ2019/potree
WebGL point cloud viewer for large datasets
RJ2019/semantic-segmentation-editor
Web labeling tool for bitmap images and point clouds
RJ2019/SRSM_QuebecCity_building_extraction
Delineated building footprint outlines in Quebec City (Canada) resulted by SRSM method.
RJ2019/torch-points3d
Pytorch framework for doing deep learning on point clouds.
RJ2019/Toronto-3D
A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
RJ2019/training-v3
(new) Neo4j Training Material
RJ2019/vcpkg
C++ Library Manager for Windows, Linux, and MacOS
RJ2019/whitebox-tools
An advanced geospatial data analysis platform
RJ2019/WhiteboxTools-ArcGIS
ArcGIS Python Toolbox for WhiteboxTools