The Julia Programming Language

Relax! Flux is the ML library that doesn't make you tensor

21st century AD

Package to call Python functions from the Julia language

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Extensible, Efficient Quantum Algorithm Design for Humans.

Python and Julia in harmony.

Create new Julia packages, the easy way

A reinforcement learning package for Julia

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Types with default field values, keyword constructors and (un-)pack macros

Save and load data in the HDF5 file format from Julia

A differential eDSL that can run faster than light and go back to the past.

Reservoir computing utilities for scientific machine learning (SciML)

Package for the quantum computation and quantum simulation based on the neutral-atom architecture.

One More Einsum for Julia! With runtime order-specification and high-level adjoints for AD

Package for Simulation, Tomography and Analysis of Quantum Computers

Clifford circuits, graph states, and other quantum Stabilizer formalism tools.

Generic tensor networks for solution space properties.

Flexible and efficient persistent homology computation.

Global optimization without derivatives

Quantum Optimal Control with Direct Collocation

A convenience meta-package for quantum optimal control using the Pade Integrator COllocation (PICO) method

Standard basic quantum circuit simulator building blocks. (archived, for it is moved to Yao.jl)

lecture materials of the ML for Physics course 2021 in Perimeter Institute

A tool for visualizing tensor network contractions.

Simulating Rydberg atom dynamics with Tensor Networks

Variational Autoregressive Network in Julia

Monte Carlo simulator of d-dimensional Ising Gauge hamiltonian