neural-ode topic
DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
ODE.jl
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
gde
Neural Graph Differential Equations (Neural GDEs)