Typography driven, feature-rich blogging theme with minimal aesthetics. Includes tags/categories support and extensive features for code blocks such as live preview, line numbers, and line highligh…

The fastai book, published as Jupyter Notebooks

Cloud Optimized GeoTIFF creation and validation plugin for rasterio

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Docker images and test runners that replicate the live AWS Lambda environment

Rasterio reads and writes geospatial raster datasets

Create and deploy Geospatial AWS Lambda functions

GMTSAR

Query the OSM Overpass API and get a GeoDataFrame

Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

Convert GOES-R data to Cloud Optimized Geotiffs

deeplearning.ai Tensorflow advance techniques specialization

Mastering Computer Vision with TensorFlow 2.0, published by Packt

Contains data and code used to create bokeh application of world obesity choropleth map

My Python Examples

Keras code and weights files for popular deep learning models.

An implementation of chunked, compressed, N-dimensional arrays for Python.

A FastAPI backed Cloud Optimized GeoTIFF tile server

Python library for working with any SpatioTemporal Asset Catalog (STAC)

The Universal Storage Engine

Python code and notebooks for reference

Docker environment for fast.ai Deep Learning Course 1 at http://course.fast.ai

Website for SpatioTemporal Asset Catalog specification

Distributed Deep Learning on AWS Using CloudFormation (CFN), MXNet and TensorFlow

Mixed Effects Random Forest