scientific-machine-learning topic

18.S096 - Applications of Scientific Machine Learning

mitmath

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

SciML

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

SciML

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable inte...

SciML

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

SciML

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

SciML

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

SciML

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

SciML

High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning...

SciML

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

SciML