Code for Tensorflow Machine Learning Cookbook
Multi-language suite for high-performance solvers of differential equati...
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...
Tutorials for doing scientific machine learning (SciML) and high-perform...
A library for solving differential equations using neural networks based...
Convert julia objects to LaTeX equations, arrays or other environments.
High performance ordinary differential equation (ODE) and differential-a...
Solving differential equations in Python using DifferentialEquations.jl ...
Chemical reaction network and systems biology interface for scientific m...
A component of the DiffEq ecosystem for enabling sensitivity analysis fo...
The lightweight Base library for shared types and functionality for defi...
Scientific machine learning (SciML) benchmarks, AI for science, and (dif...
GPU-acceleration routines for DifferentialEquations.jl and the broader S...