Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation
Working with time-dependent networks in Julia
A Julia GraphQL client for seamless integration with a server
A flexible Julia toolkit for high-dimensional cellular profiles
- julia
- morphological-analysis
- high-content-screening
A library that wraps OpenSSL, but also has pure Julia implementations for reference.