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lukewood

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Funding Links: https://github.com/sponsors/LukeWood

GitHub Sponsors Profile

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

Featured Works

keras-team/keras-cv

Industry-strength Computer Vision workflows with Keras

Language: Python - Stars: 1042
keras-team/keras

Deep Learning for humans

Language: Python - Stars: 63200
tensorflow/tensorflow

An Open Source Machine Learning Framework for Everyone

Language: C++ - Stars: 190679
LukeWood/spectral-neural-nets

Language: Jupyter Notebook - Stars: 8