用于神经微分方程的数值求解和训练的软件包目前已经进行了标准化,文中提供了几种选择供读者使用: 在JAX 生态系统 [Bra+18] 的 Diffrax(第一个链接);在 PyTorch 生态系统 [Pas+19] 中的 torchdiffeq、torchcde 和 torchsde 系列库(2-5 链接);在 Julia [Bez+17] 生态系统中的 DifferentialEquations.jl(最后...
deeplearning neural-differential-equations neuralode Updated Jun 26, 2024 Jupyter Notebook efmanu / SubspaceInference.jl Star 5 Code Issues Pull requests Subspace Inference package for uncertainty analysis in deep neural networks and neural ordinary differential equations using Julia deep-neural-networ...
Julia 18.S096 - Applications of Scientific Machine Learning neural-networkspartial-differential-equationsdifferential-equationslecture-notesneural-odescientific-machine-learningsciml UpdatedApr 26, 2022 HTML Arrays with arbitrarily nested named components. ...
Meta-Solver for Neural Ordinary Differential EquationsJulia GusakAleksandr KatrutsaTalgat DaulbaevIvan Oseledets
The model is solved and simulated using the SRIW1 strong order 1.5 solver from the DifferentialEquations.jl package for the Julia language. 12 The workstation has 4 Opteron 6380 processors, each with 4 physical cores, running at 2500 MHz. 13 The data source is the Oxford–Man Institute’s ...
Employing the Julia language, Diffiqflux.jl [97] is a package that integrates neural networks and differential equations. Rackauckas et al. [97] described differential equations from the perspective of data science and discuss the complementarity between machine learning models and differential equations...
differential equations and the boundary conditions. Refining the solutions necessitates the computation of three loss functions. The first is related to the observed data, the second to the boundary conditions and the third to the differential equations. As detailed in “Methods”, we similarly ...
using DifferentialEquations using LinearAlgebra d = 100 # number of dimensions X0 = fill(0.0f0, d) # initial value of stochastic control process tspan = (0.0f0, 1.0f0) λ = 1.0f0 g(X) = log(0.5f0 + 0.5f0 * sum(X.^2))
2022-11-17 SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations Qian Zhang et.al. 2211.09928v1 null 2022-10-27 Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks Zhanglu Yan et.al. 2211.08410v1 null 2022-10-27...
Assuming that you already have Julia correctly installed, it suffices to install NeuralPDE.jl in the standard way, that is, by typing] add NeuralPDE. Note: to exit the Pkg REPL-mode, just pressBackspaceorCtrl+C. For information on using the package,see the stable documentation. Use thein...