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SciML / DifferentialEquations.jl

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Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

python r julia ode dde partial-differential-equations dynamical-systems differential-equations differentialequations sde pde dae spde stochastic-differential-equations delay-differential-equations stochastic-processes differential-algebraic-equations scientific-machine-learning neural-differential-equations sciml
  • Updated Jan 11, 2022
  • Julia

JuliaDynamics / ChaosTools.jl

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wanxinjin / Pontryagin-Differentiable-Programming

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A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

reinforcement-learning machine-learning-algorithms motion-planning dynamical-systems control-systems trajectory-optimization optimal-control system-identification imitation-learning inverse-reinforcement-learning end-to-end-learning differentiable-programming reinforcement-learning-environments learning-control pontryagin-maximum-principle
  • Updated Jan 18, 2021
  • Python

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