neural-sde

There are 10 repositories under neural-sde topic.

  • SciML/SciMLBook

    Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

    Language:HTML1.9k6636336

  • SciML/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

    Language:Julia87431397153

  • SciML/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, SDEs, DDEs, DAEs, etc.

    Language:Julia3342033371

  • xwinxu/bayeSDE

    Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

    Language:Python1708128

  • SciML/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)

    Language:Julia6374929

  • SciML/OptimalControl.jl

    A component of the SciML scientific machine learning ecosystem for optimal control

    Language:Julia201217

  • frankschae/Control-of-Stochastic-Quantum-Dynamics-with-Differentiable-Programming

    Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.

    Language:Julia16302

  • Zh-Shuai/NJDTPP

    Implementation of "Neural Jump-Diffusion Temporal Point Processes" (ICML 2024 Spotlight)

    Language:Python7201

  • SciML/BridgeDiffEq.jl

    A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)

    Language:Julia6467

  • colalb1/FDM-for-Neural-SDEs

    Work in progress of Finite Dimensional Matching for Neural SDEs implementation.

    Language:Python3