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Builders & open source

Matthew Watson

Company listed on Matthew Watson's GitHub profile, Google

  • Company listed on Matthew Watson's GitHub profile, Google3

Matthew Watson is named among the authors in the "Citing KerasHub" entry of the KerasHub README, which describes KerasHub as a pretrained modeling library and an extension of the core Keras API, released under the Apache-2.0 license. Watson also co-wrote, with Jonathan Bischof, the "Getting Started with KerasHub" guide on keras.io, whose byline links to Watson's GitHub profile. Watson's GitHub profile lists Google as their company and pins the keras-hub, keras, keras-cv, and keras-io repositories.123

At a glance

Current role
Company listed on Matthew Watson's GitHub profile
Company
Google
Sector
Company
Work listed
1
Sources cited
6
Profile reviewed

Open-source work

Watson is named among the authors in the KerasHub README's citation entry. KerasHub is a library of pretrained models built as an extension of the core Keras API and released under the Apache-2.0 license. Watson's GitHub profile pins the keras-hub, keras, keras-cv and keras-io repositories.23

Teaching and writing

Watson has written several tutorials on keras.io. These include "Pretraining a Transformer from scratch with KerasHub," created in April 2022, and "Getting Started with KerasHub," co-written with Jonathan Bischof and created in December 2022. With Abheesht Sharma, Watson wrote a 2023 example on parameter-efficient fine-tuning of GPT-2 with LoRA, and with Samaneh Saadat a 2024 guide to uploading KerasHub models.4156

Work and contributions

  • KerasHub (Keras) Open-source code

    Named in the "Citing KerasHub" author list of the KerasHub README; co-author of the keras.io guide "Getting Started with KerasHub" (created December 2022, last modified October 2024), which introduces the KerasHub API for pretrained Keras models.21

Timeline

  1. Wrote the keras.io guide on pretraining a Transformer from scratch with KerasHub.4
  2. Co-wrote the "Getting Started with KerasHub" guide with Jonathan Bischof.1
  3. Co-wrote a Keras example on parameter-efficient fine-tuning of GPT-2 with LoRA.5
  4. Co-wrote the keras.io guide to uploading KerasHub models.6

Where they work

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References

6 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026

  1. Getting Started with KerasHub (keras.io)Keras · Documentation · published Dec 15, 2022 · accessed Oct 21, 2026
  2. keras-team/keras-hub README ("Citing KerasHub" author list; Apache-2.0 license)keras-team (GitHub repository) · Repository · accessed Oct 21, 2026
  3. mattdangerw (Matt Watson) on GitHubGitHub · Official page · accessed Oct 21, 2026
  4. Pretraining a Transformer from scratch with KerasHubKeras · Documentation · published Apr 18, 2022 · accessed Oct 21, 2026
  5. Parameter-efficient fine-tuning of GPT-2 with LoRAKeras · Documentation · published May 27, 2023 · accessed Oct 21, 2026
  6. Uploading Models with KerasHubKeras · Documentation · published Apr 29, 2024 · accessed Oct 21, 2026