Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
differential-equations gpu-computing lecture-notes neural-networks neural-ode neural-sde numerical-methods parallelism performance-engineering scientific-machine-learning scientific-simulators sciml stiff-equations
Last synced: 27 Jun 2024
https://github.com/SciML/DiffEqFlux.jl
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
delay-differential-equations differential-equations differentialequations neural-dde neural-differential-equations neural-jump-diffusions neural-networks neural-ode neural-pde neural-sde neural-sdes ordinary-differential-equations partial-differential-equations physics-informed-learning pinn scientific-ai scientific-machine-learning scientific-ml stiff-ode stochastic-differential-equations
Last synced: 21 May 2024
https://github.com/SciML/SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
adjoint backpropogation dae dde differential-equations differentialequations hacktoberfest neural-ode neural-sde ode scientific-machine-learning sciml sde sensitivity-analysis
Last synced: 21 May 2024