neural-sde topic
SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, S...
DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
DiffEqNoiseProcess.jl
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
OptimalControl.jl
A component of the SciML scientific machine learning ecosystem for optimal control
Control-of-Stochastic-Quantum-Dynamics-with-Differentiable-Programming
Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.