#Ode
Showing 11 of 11 repositories tagged #ode, ranked by stars
Code for Tensorflow Machine Learning Cookbook
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Physics-Informed Neural networks for Advanced modeling
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
ODE solver library in Rust
Python library for ODE integration via Taylor's method and LLVM
Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)