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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
Featured work
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keras-team/keras-cv
Industry-strength Computer Vision workflows with Keras
Python 1,010 -
keras-team/keras
Deep Learning for humans
Python 62,199 -
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
C++ 186,824 -
Jupyter Notebook 8