Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
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An object-oriented algebraic modeling language in Python for structured optimization problems.
- python
- optimization
- linear-programming
- mathematical-programming
A library for differentiable nonlinear optimization
- differentiable-optimization
- robotics
- embodied-ai
- nonlinear-least-squares
A package for the sparse identification of nonlinear dynamical systems from data
- dynamical-systems
- machine-learning
- sparse-regression
- model-discovery
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
- constrained-optimization
- control-systems
- deep-learning
- differentiable-programming
A Python native dynamical system simulation framework in the block diagram paradigm.
- blockdiagram
- control-systems
- hierarchical-modeling
- nonlinear-dynamics
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
- trajectory-optimization
- differential-dynamic-programming
- theano
- dynamics-models
pyMOR - Model Order Reduction with Python
- python
- model-reduction
- model-order-reduction
- control-systems
Open source tumor evidence matching for sequencing labs and hospitals without molecular tumor boards. Research prototype; oncologist review required.
- bioinformatics
- cancer-research
- computational-biology
- drug-repurposing
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc