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I am an artist interested in computer science, generative systems, and software for creativity and self-expression. I make audiovisual works applying open-source techniques from the field of AI, to which I contribute actively.

I give lectures and tutorials on topics at the intersection of code and creativity, and have given over 100 workshops on machine learning for arts, co-organized with partner institutions all over the world. I record and publish my classes on AI arts, and occasionally write. My dream art project is to create an autonomous artificial artist.

I am the founder of the ml4a project, a free collection of educational resources which facilitate a greater public understanding of machine learning for artists, activists, and citizen scientists. I also co-founded Mars College, an experimental residency program dedicated to fostering a low-cost, high-tech lifestyle in rural settings, and co-organized Alt-AI in 2016, one of the first conferences or public events about art and deep learning.

A selection of some of my works with links:

Neural arts Installations AI humor
Style transfer Futurium installations Densecap deepdream
Visualization/deepdream Kinect Projector Toolkit Neural photobombs
Texture synthesus Doodle Tunes Meat Puppet

With the generous support of my sponsors, I aim to transition to making a stable living online and reducing my travel footprint. To facilitate this, I aim to evolve the ml4a project (which is also open to sponsorship) into a "workshop kit" which can be proctored by volunteers anywhere in the world. I hope you will consider joining me on this journey!

@genekogan

This is my first time soliciting sponsorships on Github, and I am aiming to get an initial set of sponsors before aiming higher.

Featured work

  1. ml4a/ml4a

    A python library and collection of notebooks for making art with machine learning.

    Python 1,570
  2. genekogan/KinectProjectorToolkit

    Processing library for calibrating a Kinect to a projector for aligning projections to moving bodies and surfaces

    HTML 282
  3. genekogan/fast-style-transfer

    fast style transfer on your webcam, with pre-trained models at

    Python 186
  4. genekogan/neural_style

    PyTorch implementation of neural style transfer algorithm

    Jupyter Notebook 54

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πŸ™ Acknowledgement

You will be acknowledged for your generous support on my support page.

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πŸ’» Hacker

You will receive advanced access to new works-in-progress by Gene.

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🏫 Professor

You will get to have monthly group video call / workshop with no more than 4 other participants, grouped by related interests.

$1,000 a month

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πŸ§‘πŸ»β€πŸ« Consultant

You will get to have a weekly solo meeting with me where we can work on your projects.