Optimization.jl
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
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Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Syntax highlighting and other enhancements for the Julia REPL
Distributed High-Performance Symbolic Regression in Julia
Macro(s) for vectorizing loops.
Progress meter for long-running computations
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Julia implementation of Data structures
Elegant and Performant Deep Learning
Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia
A framework for out-of-core and parallel execution
A framework for applied category theory in the Julia language
Formatted output of timed sections in Julia
The slow descent into madness
Create new Julia packages, the easy way
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
A Julia library for efficient tensor computations and tensor network calculations. ITensors.jl is supported by the Simons Foundation's Flatiron Institute.
A benchmarking framework for the Julia language
Pkg - Package manager for the Julia programming language
A reinforcement learning package for Julia
An opinionated code formatter for Julia. Plot twist - the opinion is your own.