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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 1.2k 158

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 18 7

3. pnnl/deps_arXiv2020 pnnl/deps_arXiv2020 Public

   Differentiable predictive control (DPC) policy optimization examples.

   MATLAB 55 8

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.

   19 5

5. NeuralDAEs NeuralDAEs Public

   Learning Neural Differential Algebraic Equations via Operator Splitting

   JavaScript

6. slides slides Public

   Collection of presentation slides

   2