Introduction to NeuroMANCER Scientific Machine Learning Library

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  • čas přidán 3. 01. 2023
  • NeuroMANCER is a Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
    open-source code: github.com/pnnl/neuromancer
    Developed by the team at PNNL: Aaron Tuor, Jan Drgona, Mia Skomski, Stefan Dernbach, James Koch, Zhao Chen, Christian Møldrup Legaard, Draguna Vrabie
    This work was partially supported by the Mathematics for Artificial Reasoning in Science (MARS) and Data Model Convergence (DMC) initiatives via the Laboratory Directed Research and Development (LDRD) investments at Pacific Northwest National Laboratory (PNNL), by the U.S. Department of Energy, through the Office of Advanced Scientific Computing Research's “Data-Driven Decision Control for Complex Systems (DnC2S)” project, and through the Energy Efficiency and Renewable Energy, Building Technologies Office under the “Dynamic decarbonization through autonomous physics-centric deep learning and optimization of building operations” and the “Advancing Market-Ready Building Energy Management by Cost-Effective Differentiable Predictive Control” projects.
    PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL0-1830.

Komentáře • 9

  • @OmkarPatil24
    @OmkarPatil24 Před rokem +1

    Thanks Jan for making these videos! They will be very helpful! I am also sharing with my colleagues.

    • @neuromancer_SciML
      @neuromancer_SciML  Před rokem +1

      Thanks Omkar! If you run into any issues or you have a feature request, please post it on our github repo.

  • @nickpgr10
    @nickpgr10 Před 9 měsíci +2

    Thanks. Can we use a learned pytoch model as dynamics for the model predictive control in Neuromancer?

    • @neuromancer_SciML
      @neuromancer_SciML  Před 9 měsíci

      By all means, please see example 4 in our control examples:
      github.com/pnnl/neuromancer#control

  • @user-qg1iy7hm5i
    @user-qg1iy7hm5i Před 7 měsíci +2

    Thanks a lot! But I can't find the Documentation.pdf in Github, Could you please send me a new link of the PDF?Thank you !

    • @neuromancer_SciML
      @neuromancer_SciML  Před 7 měsíci

      Thanks for the inquiry. The documentation has been moved to here:
      pnnl.github.io/neuromancer/

    • @user-qg1iy7hm5i
      @user-qg1iy7hm5i Před 7 měsíci

      @@neuromancer_SciML Thank you so much!

  • @amel3778
    @amel3778 Před 24 dny

    Thank you sir for making this vid, i have a question for you : Can I import and use a pre-trained model with TensorFlow?

    • @neuromancer_SciML
      @neuromancer_SciML  Před 18 dny +1

      Not by default, but I would search online to see how to import TensorFlow models into Pytorch
      medium.com/huggingface/from-tensorflow-to-pytorch-265f40ef2a28