Pythonic quantum-classical programming language

Julia extension for Visual Studio Code

High-performance quantum systems simulation with JAX (GPU-accelerated & differentiable solvers).

A solver for nonlinear programming with GPU support

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

BOSS.jl (Bayesian Optimization with Semiparametric Surrogate)

Julia interface for OSQP: The Operator Splitting QP Solver

Syntax highlighting and other enhancements for the Julia REPL

First-order solver for quadratric programming on CPU and GPU.

⭐ Vim for Visual Studio Code

Quantum Toolbox in Julia

Compute the action of the matrix exponential

Simple package for literate programming in Julia

Python scripts for controlling a Nexstar-based telescope

Research package for automatic differentiation of programs containing discrete randomness.

A differentiable fluid-structure interaction (FSI) solver for robotics applications.

A tiny quantum optimal control library.

A minimalistic-bootstrap to find a quantum theory of the cosmos.

An elegant PyTorch offline reinforcement learning library for researchers.

An index of algorithms for offline reinforcement learning (offline-rl)

Julia implementation of Data structures

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

Calling the PARDISO library from Julia

Easily benchmark a Julia package over its commit history

Differentiable collision detection for polytopes, capsules, cylinders, cones, spheres, and polygons.

Convert julia objects to LaTeX equations, arrays or other environments.

Leave One Feature Out Importance