GitHub topics: neural-sde
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: Julia - Size: 181 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 891 - Forks: 160
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Language: HTML - Size: 120 MB - Last synced at: 8 days ago - Pushed at: 16 days ago - Stars: 1,919 - Forks: 351
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: Julia - Size: 89.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 354 - Forks: 76
masterx35/Parallel-Computing-
Explore parallel computing with sorting algorithms and a deep neural network. Compare performance using Python's multithreading, multiprocessing, and GPU acceleration. 🚀💻
Language: Jupyter Notebook - Size: 561 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0
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: Julia - Size: 2.14 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 63 - Forks: 30
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: Julia - Size: 60.5 KB - Last synced at: 8 days ago - Pushed at: 8 months ago - Stars: 6 - Forks: 7
colalb1/FDM-for-Neural-SDEs
Work in progress of Finite Dimensional Matching for Neural SDEs implementation.
Language: Python - Size: 47.9 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
Zh-Shuai/NJDTPP
Implementation of "Neural Jump-Diffusion Temporal Point Processes" (ICML2024 Spotlight)
Language: Python - Size: 7.73 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
frankschae/Control-of-Stochastic-Quantum-Dynamics-with-Differentiable-Programming
Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.
Language: Julia - Size: 252 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 2
xwinxu/bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Language: Python - Size: 46.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 145 - Forks: 24
SciML/OptimalControl.jl 📦
A component of the SciML scientific machine learning ecosystem for optimal control
Language: Julia - Size: 4.88 KB - Last synced at: 8 days ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 7