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.
Thanks Jan for making these videos! They will be very helpful! I am also sharing with my colleagues.
Thanks Omkar! If you run into any issues or you have a feature request, please post it on our github repo.
Thanks. Can we use a learned pytoch model as dynamics for the model predictive control in Neuromancer?
By all means, please see example 4 in our control examples:
github.com/pnnl/neuromancer#control
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 !
Thanks for the inquiry. The documentation has been moved to here:
pnnl.github.io/neuromancer/
@@neuromancer_SciML Thank you so much!
Thank you sir for making this vid, i have a question for you : Can I import and use a pre-trained model with TensorFlow?
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