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followers: 1.7K following: 2.6K repos: 351.0 gists: 2.0

Name: Robin Cole

Type: User

Company: @earthdaily

Bio: Tackling the worlds toughest challenges with AI & ML applied to satellite imagery

Twitter: robmarkcole

Location: London, UK

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.

👉 satellite-image-deep-learning.com 👈

Robin Cole's Projects

a-change-detection-reality-check

Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.

accessing-openstreetmap-data

A Jupyter project that demonstrates how to access local data from OpenStreetMap to improve your ML models. Demonstrates the use of K-D Trees to turn data into features.

aerial_pedestrian_detection

aerotech

Class to enable control of the Ensemble controllers by Aerotech using TCP

amazon-sagemaker-endpoint-deployment-of-fastai-model-with-torchserve

Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint

ambianic-docs

Ambianic Technical Documentation

aml_command_sdk

Fashion MNIST model with MLflow

applehealthdata

Apple Health Data Extraction Code

arduino-tensorflow-example

Code and results from https://medium.com/p/7daf95b4157

artist-classification-with-ml

Train an "off-the-shelf" deep image network with color images of Impressionist paintings from the web (Seurat, Signac, Monet, Degas, Renoir, ...) for classification of both artist and simple subject matter

arxiv-github-scanner

Streamlit app for querying the arxiv api

attention-mechanism-unet

An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.

automated-feature-engineering

Automated feature engineering in Python with Featuretools

autoregistrationtool

This repository contains an implementation of Auto Registration Tool, which processes a batch of LANDSAT images and performs Geo-Registration on them.

awesome-home-assistant

A curated list of amazingly awesome Home Assistant resources.

awesome-jupyterlab

A curated list of awesome JupyterLab extensions and resources

awesome-mqtt

A curated list of MQTT related stuff. :sparkles:

aws-app-runner-demo

aws-cdk-example

aws-cost-and-usage-report

Simple script to generate a TSV file using the AWS Cost Explorer API

aws-lambda-pytorch-image-classification-example

Example of implementing a pytorch image classifier service using AWS lambda

aws-text-extraction-app

Streamlit app to extract text from an image using AWS services

bayesianunet

Pytorch Bayesian UNet model for segmentation and uncertainty prediction

bert_as_serverless_service

Endless headaches dont touch this

bids2023-hackathon

birdnest-occupancy-model

An object detection model to count birds nesting in a birdbox

bme680-mqtt

Publish bme680 data via MQTT

bme680-mqtt-micropython

Publish data from the bme680 sensor over MQTT using micropython

brands

🎨 Brands for Home Assistant

cassandratime

Cassandra NoSQL + Bokeh + Prophet for stock time series analysis

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