neural-differential-equations 开源项目推荐（51 个）

SciML /DifferentialEquations.jl

用于微分方程高性能求解器和科学机器学习（SciML）组件的多语言套件。Julia 中的常微分方程（ODEs）、随机微分方程（SDEs）、延迟微分方程（DDEs）、微分代数方程（DAEs）等。

patrick-kidger /diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

google-research /torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

DiffEqML /torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

SciML /NeuralPDE.jl

物理信息神经网络（PINN）科学机器学习（SciML）加速模拟的（偏）方程解算器

SciML /DiffEqFlux.jl

预构建隐式层架构，采用O（1）反向推进、GPU和stiff+non刚性微分方程求解器，展示了科学机器学习（SciML）和物理知情机器学习方法

SciML /SciMLTutorials.jl

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

patrick-kidger /NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

patrick-kidger /torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

SciML /DiffEqBase.jl

The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

SciML /DiffEqGPU.jl

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

jacobjinkelly /easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

SciML /DiffEqOperators.jl

用于微分方程离散化和科学机器学习（SciML）的线性算子。

SciML /JumpProcesses.jl

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

SciML /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

SciML /DiffEqProblemLibrary.jl

A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools

DiffEqML /diffeqml-research

This repository contains code released by DiffEqML Research

patrick-kidger /FasterNeuralDiffEq

Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)

MartinuzziFrancesco /awesome-scientific-machine-learning

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

samholt /NeuralLaplace

Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.