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
Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
- julia-language
- computational-thinking
- mit
- pluto-notebooks
Interactive data visualizations and plotting in Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Powerful convenience for Julia visualizations and data analysis
A Julia machine learning framework
Curated decibans of Julia programming language.
Layout algorithms for graphs and trees in pure Julia.
Julia wrapper around nettle cryptographic hashing/encryption library providing MD5, SHA1, SHA2 hashing and HMAC functionality, as well as AES encryption/decryption
A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation
A Julia GraphQL client for seamless integration with a server
Build documentation for your Julia package with Quarto!
A library that wraps OpenSSL, but also has pure Julia implementations for reference.