An acausal modeling framework for automatically parallelized scientific ...
A collection of resources regarding the interplay between differential e...
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differentia...
Python library for arbitrary-precision floating-point arithmetic
Pre-built implicit layer architectures with O(1) backprop, GPUs, and sti...
Tutorials for doing scientific machine learning (SciML) and high-perform...
High performance ordinary differential equation (ODE) and differential-a...
Solving differential equations in Python using DifferentialEquations.jl ...
The lightweight Base library for shared types and functionality for defi...
Tensorflow implementation of Ordinary Differential Equation Solvers with...
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE'...
C and Python examples from my book on using PETSc and Firedrake to solve...
Python notebooks for Numerical Analysis
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl...
The Base interface of the SciML ecosystem