free8000 Goto Github PK
Type: User
Type: User
GEOSTAT 2017 Split - Materials for Machine Learning with Madlene
An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
Developer tools for the GeoStats.jl framework
This is a collection of geostatistical scripts written in Python
Accelerated GSLIB using OpenMP and MPI
FORTRAN tools to assist with building geostatistical workflows.
GeoJSON-based HTTP access to PostGIS with Node
GSLIB fortran code wrapped into python
SeaweedFS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files! to serve the files fast! SeaweedFS implements an object store with O(1) disk seek, and an optional Filer with POSIX interface.
A library for building rich, web-based geospatial data explorers.
Catalog-based web geospatial visualisation platform.
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.