Multi-language suite for high-performance solvers of differential equati...
Differentiable SDE solvers with GPU support and efficient sensitivity an...
An acausal modeling framework for automatically parallelized scientific ...
A PyTorch library entirely dedicated to neural differential equations, i...
Numerical differential equation solvers in JAX. Autodifferentiable and G...
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Tutorials for doing scientific machine learning (SciML) and high-perform...
Code for "Neural Controlled Differential Equations for Irregular Time Se...
Differentiable controlled differential equation solvers for PyTorch with...
The lightweight Base library for shared types and functionality for defi...
Linear operators for discretizations of differential equations and scien...
GPU-acceleration routines for DifferentialEquations.jl and the broader S...
Code for the paper "Learning Differential Equations that are Easy to Solve"
Build and simulate jump equations like Gillespie simulations and jump di...