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Robin Cole

I hold a PhD in physics from the University of Cambridge, and have significant R&D experience across academia and industry. Over the last ten years, I have been working in the space sector, applying my optical expertise in the design and manufacture of space-based telescopes, as well as specializing in Python-based image analysis and software development. I am a well-known authority in machine and deep learning techniques for processing satellite and aerial imagery, and am dedicated to education. I have created the satellite-image-deep-learning.com website, newsletter, YouTube channel, and Github organization to share my knowledge and build a community. As a strong proponent of the open-source software movement, I regularly contribute to Github and strive to make a positive impact in the developer community. I have had the opportunity to share my expertise by presenting at various Python conferences and have been invited as a guest on several podcasts, including the ZenML and Mapscaping podcasts. Through these opportunities, I am able to share my knowledge and passion for the industry, while also connecting with other like-minded individuals.

Robin Cole's Projects

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

panel icon panel

A high-level app and dashboarding solution for Python

panel-segmentation icon panel-segmentation

This open-source package provides a framework for automatically detecting and extracting metadata from solar array installations in satellite images.

papers icon papers

Summaries of machine learning papers

people icon people

An audit trail for who's meant to be in the Home Assistant GitHub organization - and a place to open issues for security-problem users

pycom-projects icon pycom-projects

Micropython mini projects with pycom boards for demos/education

pynomaly icon pynomaly

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

python-flask-angular-1 icon python-flask-angular-1

Repository for the "Using Python, Flask, and Angular to Build Modern Web Apps - Part 1" article

rams icon rams

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

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