Algorithms are detailed sets of guidelines created for a computer program to complete tasks efficiently and thoroughly. Algorithms in computer programming are employed to solve complex problems. Various cutting-edge technologies including artificial intelligence (AI) and machine learning (ML), operate based on simple or complex algorithms.
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
A curated implementation of quantum algorithms with Yao.jl
A Julia package for solving multi-objective optimization problems
A face detection algorithm using Viola-Jones' rapid object detection framework written in Julia
A Julia port of Turf.js http://turfjs.org/
Benders decomposition to solve mixed integer linear programming, especially stochastic programming in seconds!
Algorithms for Learning Graphical Models
Optimal piecewise linear approximation package for the Julia programming language
Find the fastest way to multiply a chain of matrices and do it.
Real time estimation of epidemic Effective Reproduction Number for Luxembourg
Reinforcement learning with Deterministic Policy Gradient methods
Scratch implementation of Gaussian Elimination algo in Julia
A Pattern Recognition library and pipeline builder
Library for solving and analyzing bike-sharing rebalancing problems
A pure Julia implementation of the fast inverse square root algorithm
simulation of various sandpile models
Migrating bisect module from Python to Julia
Implementing the Gershgorin circle theorem
Calculate Friedman formulas for large random numbers; attempt to prove that a large random number is a Friedman number