Julia machine learning and automatic differentiation
3 repos
Julia libraries for building machine learning and deep learning systems, centered on automatic differentiation and symbolic computation. The cluster includes Flux.jl for neural networks, Zygote.jl for AD, ChainRules.jl for composable derivatives, Symbolics.jl for symbolic math, and ModelingToolkit.jl for scientific computing workflows. These repos form a cohesive ecosystem enabling gradient-based optimization and differentiable programming in Julia.
Julia · 2
Rust · 1
ode ·3,289
dynamical-systems ·3,156
differential-equations ·3,156
julia ·3,156
delay-differential-equations ·3,156
differential-algebraic-equations ·3,156
dae ·3,156
differentialequations ·3,156
dde ·3,156
neural-differential-equations ·3,156
