Reid Falconer's starred repositories
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
segment-anything-eo
Earth observation tools for Meta AI Segment Anything
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
prettymapp
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
PlanetaryComputerExamples
Examples of using the Planetary Computer
graph-app-kit
Go from graph data to a secure and interactive visual graph app in 15 minutes. Batteries-included self-hosting of graph data apps with Streamlit, Graphistry, RAPIDS, and more!
learnopencv
Learn OpenCV : C++ and Python Examples
aws-open-data-geo
A list of open geospatial datasets on AWS
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
geodataflow
Geoprocessing framework for geographical & Earth Observation (EO) data
farmvibes-ai
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
field-delineation
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
forestatrisk
📦🐍 Python package to model and forecast the risk of deforestation
linkedin-skill-assessments-quizzes
Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
datefinder
Find dates inside text using Python and get back datetime objects
jsoncrack.com
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.