neural-differential-equations topic

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

SciML

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

SciML

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

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

DiffEqML

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

patrick-kidger

This repository contains code released by DiffEqML Research

DiffEqML

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

SciML

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

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

SciML

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

SciML