A flexible framework for developing customized simulations for retirement planning.
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Updated
May 19, 2024 - Julia
Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.
A flexible framework for developing customized simulations for retirement planning.
The Julia Programming Language
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
A place where miscellaneous Julia-related graphics are stored. If you're looking for the official Julia logos and related graphics, visit https://github.com/juliaLang/julia-logo-graphics.
Collecting and maintaining crucial Julia package data, including Names, UUIDs, and download statistics, for enhanced accessibility, insight, and discoverability.
Finite element toolbox for Julia
An implementation of the Microsoft Language Server Protocol for the Julia language.
The SciML Scientific Machine Learning Software Organization Website
CPU/GPU parallel performance portable layer in Julia via functions as arguments
Julia module with functions to provide support for obtaining random numbers generated by the RANDOM.ORG website using their API.
A Julia implementation of choice sequence based PBT, inspired by Hypothesis
Provides a platform for the Julia community to compare AI models' abilities in generating syntactically correct Julia code, featuring structured tests and automated evaluations for easy and collaborative benchmarking.
Gunnar's 1 Billion Row Challenge (Julia)
Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman
Released February 14, 2012