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https://github.com/pnnl/neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
https://github.com/pnnl/neuromancer
constrained-optimization control-systems deep-learning differentiable-control differentiable-optimization differentiable-programming dynamical-systems nonlinear-dynamics nonlinear-optimization physics-informed-ml pytorch
Last synced: 5 days ago
JSON representation
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
- Host: GitHub
- URL: https://github.com/pnnl/neuromancer
- Owner: pnnl
- License: other
- Created: 2020-10-14T19:35:17.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2024-12-04T01:43:54.000Z (19 days ago)
- Last Synced: 2024-12-10T14:06:12.610Z (12 days ago)
- Topics: constrained-optimization, control-systems, deep-learning, differentiable-control, differentiable-optimization, differentiable-programming, dynamical-systems, nonlinear-dynamics, nonlinear-optimization, physics-informed-ml, pytorch
- Language: Python
- Homepage: https://pnnl.github.io/neuromancer/
- Size: 406 MB
- Stars: 968
- Watchers: 28
- Forks: 125
- Open Issues: 10
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Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
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- awesome-scientific-machine-learning - `code`