eisenerz108
Maps and Steel are highly underrated | Graph Algorithms | Satellite Imagery | Sentinel 2 | Landsat 8 | FU Berlin | TU Berlin |
Freie Universität BerlinBerlin, Germany
eisenerz108's Stars
liorruba/mask-r-cnn-barchan-dunes
Using Mask R-CNN to detect barchan dunes on Earth and Mars
silburt/DeepMoon
Convolutional neural network code for extracting Lunar craters from Digital Elevation Maps (DEMs).
visgl/deck.gl
WebGL2 powered visualization framework
google/styleguide
Style guides for Google-originated open-source projects
FUB-HCC/hcds-summer-2022
Lecture and Exercise Human-Centered Data Science by HCC.lab @ Freie Universität Berlin
jasonmanesis/Satellite-Imagery-Datasets-Containing-Ships
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
labelmeai/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
developmentseed/skynet-data
[DEPRECATED] Data pipeline for machine learning with OpenStreetMap
ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
amanbasu/ship-detection
Detecting ships from the satellite images using the YOLO algorithm
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
python-visualization/folium
Python Data. Leaflet.js Maps.
tensorflow/models
Models and examples built with TensorFlow
franchyze923/Code_From_Tutorials
Code from my YouTube Tutorials
openstreetmap/openstreetmap-website
The Rails application that powers OpenStreetMap
openstreetmap/iD
🆔 The easy-to-use OpenStreetMap editor in JavaScript.
jasmcaus/opencv-course
Learn OpenCV in 4 Hours - Code used in my Python and OpenCV course on freeCodeCamp.
chrieke/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
NREL/OpenOA
This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.
bendoesdata/make-a-map-geopandas
Tutorial on how to make a choropleth map using Geopandas and Matplotlib in Python.
CoreyMSchafer/code_snippets
Automating-GIS-processes/notebooks
darribas/gds_course
Geographic Data Science, the course
kthyng/python4geosciences
Python for the Geosciences, a class offered at Texas A&M University in the Oceanography department.
koldunovn/python_for_geosciences
Introduction to python use in geosciences.