sabman / aicasts.com

Weekly AI Tutorials

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Weekly AI Tutorials

Spatial Stats

• GeoDa spatial data science course https://youtube.com/playlist?list=RDCMUCzvhOfSmJpRsFRF2Pgrv-Wg&playnext=1

TODO:

• look at hbase
• look at geomesa
• Kafka
• PySAL
• Geowave
• RStack for Geostats
• abstreet
• https://github.com/developmentseed/titiler

Postgres

https://info.crunchydata.com/blog/production-postgis-vector-tiles-caching https://www.crunchydata.com/case-study/sas

3D GIS

• 3d https://stackoverflow.com/questions/64675784/tools-for-geospatial-data-visualization-with-custom-3d-models

ML

• https://github.com/azavea/raster-vision
• https://github.com/AdeelH/pytorch-multi-class-focal-loss
• https://github.com/weiji14/zen3geo

WIP:

• https://end-to-end-machine-learning.teachable.com/courses/516029/lectures/9533965
• Pooling layer https://www.youtube.com/watch?v=JB8T_zN7ZC0

Spatial Temportal

• https://github.com/aptx1231/Traffic-Prediction-Open-Code-Summary
• https://github.com/ArsamAryandoust/DataSelectionMaps
• https://github.com/StanfordASL/Trajectron-plus-plus

GANS

Blog

Setup https://github.com/adityatelange/hugo-PaperMod/

Look at new mobilitydb types... network types

k8s

https://software.danielwatrous.com/kubernetes-on-the-cheap/

frontend

• Viz Academy from Uber

  Books

  https://urbanspatial.github.io/PublicPolicyAnalytics/index.html#table-of-contents

  The goal of this book is to make data science accessible to social scientists and City Planners, in particular. I hope to convince readers that one with strong domain expertise plus intermediate data skills can have a greater impact in government than the sharpest computer scientist who has never studied economics, sociology, public health, political science, criminology etc.

Seafloor mapping

https://gist.github.com/schwehr/4698869

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prettymaps python package

https://github.com/VCityTeam/UD-Viz