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awesome-data-engineering-content

Sharing interesting and noteworthy Data Engineering content

blog

pmarcelino.com blog posts

challenge-msql

challenge_geo

Challenge tasks

data-block-template

A template repository for building data blocks.

data-science

Collection of useful data science topics along with code and articles

eesardocker

Earth Engine SAR

eeunetdocker

engineering-project-template

esa-snap

Docker image of ESA Sentinel Application Platform (SNAP 8) from http://step.esa.int/main/toolboxes/snap/ . Download at https://hub.docker.com/r/mundialis/esa-snap

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kafka-streams-examples

land_cover_classification_unet

This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.

landsatxplore

Search and download Landsat scenes from EarthExplorer.

mecnet

The network is to identify the outline of water-bodies accurately from very high resolution (VHR) remote sensing imagery, particularly for complicated and challenging water-body samples.

osaris

Scripts to facilitate parallel InSAR processing and analysis of Sentinel-1 time series on HPC clusters based on GMTSAR and Slurm.

pdal

PDAL is Point Data Abstraction Library. GDAL for point cloud data.

processing-block-template

A template repository for building processing blocks.

pyscript

Home Page: https://pyscript.net Examples: https://pyscript.net/examples

python_for_gis

Monash EAE Data Analysis in Earth Sciences

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

test

test thử hàm

up42-py

:earth_americas: Python SDK for UP42, the geospatial marketplace and developer platform.

vegetation-reflectance-simulation

wp-content

phuc vu thiet ke website