Stars
A curated list of awesome Machine Learning frameworks, libraries and software.
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy
Ready-to-run Docker images containing Jupyter applications
Multi-user server for Jupyter notebooks
The Open edX LMS & Studio, powering education sites around the world!
Preview GitHub README.md files locally before committing them.
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Official s3cmd repo -- Command line tool for managing S3 compatible storage services (including Amazon S3 and CloudFront).
Fast data visualization and GUI tools for scientific / engineering applications
User-friendly, commercial-grade software for processing aerial imagery.
Quickly and accurately render even the largest data.
Hidden Markov Models in Python, with scikit-learn like API
A global repository of open address, building, and parcel data.
With Holoviews, your data visualizes itself.
An open source library and framework for deep learning on satellite and aerial imagery.
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
brat rapid annotation tool (brat) - for all your textual annotation needs
Helm Chart & Documentation for deploying JupyterHub on Kubernetes
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Cartopy - a cartographic python library with matplotlib support
High-level geospatial data visualization library for Python.
Simple JupyterHub distribution for 1-100 users on a single server
A Jupyter notebook extension for geospatial visualization and analysis
An Object Graph Mapper (OGM) for the Neo4j graph database.
Download and process satellite imagery in Python using Sentinel Hub services.
A Python interface for the Generic Mapping Tools.