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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 is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Data ingestion library for Amundsen to build graph and search index
Front-end service library for Amundsen
Search service library for Amundsen
A curated list of awesome data labeling tools
Long list of geospatial tools and resources
A Best Practices analysis tool for FME Workspaces
Efficient Learning on Point Clouds with Basis Point Sets
A python + postgreSQL model for finding building footprints and heights by implementing DBSCAN on LIDAR data.
This is the data set used as the reference for the segmentation of LiDAR building point clouds
Building Footprint Segmentation from Satellite images
Winning building footprint detector implementations from the SpaceNet challenges.
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
Chef Cookbook for R
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
The Open Data Standards Directory is an iniative to provide an inventory of information regarding open data standards. This site is operated by the Center for Government Excellence at Johns Hopkins University, in partnership with Geothink, McGill University and members of the open data community.
MIT Deep Learning Book in PDF format
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
Data Catalog Vocabulary (DCAT)
Collection of workspaces for FME
Demo of point cloud data distribution using FME Server
Individual tree segmentation from LiDAR-derived point clouds
Harvard's first open data catalog
Data used in the following paper: Zhang, Y., Wang, J., Wang, X., & Dolan, J. M. (2018). Road-Segmentation-Based Curb Detection Method for Self-Driving via a 3D-LiDAR Sensor. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2018.2789462
efficient tools for LiDAR processing
Python notebooks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.