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1. pnnl/neuromancer pnnl/neuromancer Public

   Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

   Python 962 124

2. pnnl/slim pnnl/slim Public

   Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.

   Cuda 17 6

3. pnnl/deps_arXiv2020 pnnl/deps_arXiv2020 Public

   Differentiable predictive control (DPC) policy optimization examples.

   MATLAB 49 6

4. PIML_ACC2023 PIML_ACC2023 Public

   Material for the tutorial on "Physics-Informed Machine Learning (PIML) for Modeling and Control of Dynamical Systems" presented at the American Control Conference 2023.

   14 3