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Luke Wood

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I am a Keras team member, machine learning researcher working on neural-structured-learning and a machine learning Ph.D candidate in UCSD's NoiseLab. My work revolves around the Open Source community, Computer Vision, and bringing effective software engineering practices to ML.

My current focuses are:

  • KerasCV, a set of computer vision extensions for Keras
  • a research project focused on robust image representation (paper coming soon)
  • coursework at UCSD
  • self supervised learning research
  • world models research
  • implementing and reviewing keras.io examples
  • publishing useful ML content on lukewood.xyz
  • eventually making time to finish WizardWars.online

I've also contributed to the following open source projects:

keras-team/keras-cv, keras-team/keras, tensorflow/neural-structured-learning, tensorflow/tensorflow, keras-team/keras-io, mozilla/eslint-plugin-no-unsanitized, openai/gym, werner-duvaud/muzero-general, 8000net/LectureNotesMaster, eclipse-theia/theia, mapeditor/tiled, pixijs/pixi-particles, ImageStyle/ImStyle, googleforgames/agones, michalochman/react-pixi-fiber, kubernetes-sigs/controller-runtime, insin/gatsby-plugin-dark-mode, halftheopposite/TOSIOS, golang/vscode-go, pmndrs/drei, jiupinjia/SkyAR, jointheleague/DragonCoin

@LukeWood

Thank you to all of my wonderful sponsors!

Featured work

  1. keras-team/keras-cv

    Industry-strength Computer Vision workflows with Keras

    Python 1,010
  2. keras-team/keras

    Deep Learning for humans

    Python 62,120
  3. tensorflow/tensorflow

    An Open Source Machine Learning Framework for Everyone

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