An acausal modeling framework for automatically parallelized scientific ...
A collection of resources regarding the interplay between differential e...
Python library for arbitrary-precision floating-point arithmetic
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...
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...
C and Python examples from my book on using PETSc and Firedrake to solve...
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl...
Python notebooks for Numerical Analysis
The Base interface of the SciML ecosystem
AUTO is a publicly available software for continuation and bifurcation p...