Lux

Extra Credit builds an outline of Lux's docs the first time your work uses it. Until then, start at the official documentation.

• LuxCore Elegant and Performant Deep Learning
• DynamicPolynomials Multivariate polynomials implementation of commutative and non-commutative variables
• OrdinaryDiffEqRKN High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• LuxLib Elegant and Performant Deep Learning
• ChunkSplitters Splitting collections into chunks
• WeightInitializers Elegant and Performant Deep Learning
• Indexing Generalized indexing for Julia
• JumpProcesses Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differ
• AlgebraicMultigrid Algebraic Multigrid in Julia
• OrdinaryDiffEqExplicitRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• OrdinaryDiffEqPDIRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different
• OrdinaryDiffEqExponentialRK High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary different