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pierremtb/README.md

Hi there 👋

Name's Pierre Jacquier (French for jackfruit), I currently work as an engineer at zoo.dev, building new CAD software for hardware design. With degrees in Mechanical Engineering plus a huge interest in software and cool tech, I'm working hard to reach a point of cross-functional understanding of products. Computationally curious, and it’s not up for debate.

Drop me a line: meet at pierre dot coffee ☕

Or DM at twitter.com/PierreJacquier 🐦

Back to the standard homepage: pierrejacquier.com 🏠

Coding stuff @pierremtb

YouTube videos @pierrejacquierfr

Medium blog @pierremtb

Journal Publication

Applying AI tools to Computational Mechanics was at the core of my Master's thesis.

Journal of Computational Physics"Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling", Pierre Jacquier, Azzedine Abdedou, Vincent Delmas, Azzeddine Soulaimani. Project page 🔗

Reading List

All-time favs: Shoe Dog, Talking to Strangers, Food Fix.

More in Books 📕.

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  1. easy-fit easy-fit Public

    Parse your .FIT files easily, directly from JS

    JavaScript 70 53

  2. PINNs-TF2.0 PINNs-TF2.0 Public

    TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

    Mathematica 254 87

  3. lirios/calculator lirios/calculator Public

    🚀 More than a simple cross-platform Material Design calculator

    QML 29 5

  4. POD-UQNN POD-UQNN Public

    Uncertainty Quantification in the POD-NN framework

    Python 19 10

  5. CastMenu CastMenu Public

    A macOS Menu Bar applet to control playback on Chromecast-enabled devices

    Python 2

  6. UQPINNs-TF2.0 UQPINNs-TF2.0 Public

    TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

    Python 19 23