pnnl/neuromancer

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

PythonCudaC++deep-learningpytorchconstrained-optimizationdynamical-systemscontrol-systemsnonlinear-dynamicsnonlinear-optimizationdifferentiable-programmingphysics-informed-mldifferentiable-optimizationdifferentiable-control
This is stars and forks stats for /pnnl/neuromancer repository. As of 29 Apr, 2024 this repository has 448 stars and 60 forks.

NeuroMANCER v1.4.1 Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularizations (NeuroMANCER) is an open-source differentiable programming (DP) library for solving parametric constrained optimization problems, physics-informed system identification, and parametric model-based optimal control. NeuroMANCER is written in PyTorch and allows for systematic integration of machine learning with scientific computing for creating end-to-end differentiable models and algorithms embedded...
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