Topic: "neural-sdes"
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: 8 days ago - Pushed at: 19 days ago - Stars: 892 - Forks: 156
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: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
