A solver for mixed-integer convex optimization

A Julia/JuMP-based Global Optimization Solver for Non-convex Programs

A compiler for quantum computers based on A* and numerical optimization.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

The Julia Programming Language

Google's Operations Research tools:

A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs

A Julia/JuMP Package for Optimal Quantum Circuit Design

A Julia/JuMP Package for Power Network Optimization

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Benchmarks for the Optimal Power Flow Problem

A JuMP-based library of Non-Linear and Mixed-Integer Non-Linear Programs

Mixed-Integer NonLinear Program library for Julia JuMP

Harsha Nagarajan's Homepage