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robmarkcole/README.md

Robin Cole

My background is optical physics, and I have a PhD from the NanoPhotonics group at Cambridge on the topic of localised surface Plasmons. Since academia I have held a variety of roles, including doing research at Sharp Labs Europe, developing optical systems at Surrey Satellites (SSTL), and working at an IOT startup. Over time I have gravitated towards data analytics and software engineering with python, and I now work as a senior data scientist at Satellite Vu. My main activities on Github involve in the practical application of machine learning, and I have a number of personal projects around training and deploying neural networks on edge devices such as the Raspberry Pi and Jetson Nano. I am actively involved in two community projects; Home Assistant and Deepstack AI. A number of my IOT projects are on Hackster

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Pinned

  1. Resources for deep learning with satellite & aerial imagery

    2.1k 573

  2. Home Assistant custom component for using Deepstack object detection

    Python 321 54

  3. Home Assistant custom component for using Deepstack face recognition

    Jupyter Notebook 160 27

  4. Detect fire in images using neural nets

    Jupyter Notebook 141 33

  5. Explore and analyse your Home Assistant data

    Jupyter Notebook 127 24

  6. Stream images from a connected camera over MQTT, view using Streamlit, record to file and sqlite

    Python 129 36

3,888 contributions in the last year

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Mon Wed Fri

Contribution activity

January 2022

Created 1 commit in 1 repository
Opened 1 issue in 1 repository
robmarkcole/umap-image-embedding-streamlit-app 1 open
1 contribution in private repositories Jan 4

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