Open-source implementation of AlphaEvolve

OpenAlpha_Evolve is an open-source Python framework inspired by the groundbreaking research on autonomous coding agents like DeepMind's AlphaEvolve.

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

BART: Toolbox for Computational Magnetic Resonance Imaging

Analyze Data with Pandas-based Networks. Documentation:

LoongFlow: A Thinking & Learning Framework for Expert-Grade AI Agents.

Algebraic Multigrid in Julia

Julia code for the book Numerical Linear Algebra

This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.

A fast forward- and inverse kinematics solver for Arduino based on the FABRIK algorithm. The solver supports up to 4 DOF.

Numerical computation in native Haskell

This algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.

pySDC is a Python implementation of the spectral deferred correction (SDC) approach and its flavors, esp. the multilevel extension MLSDC and PFASST.

An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process

Code for our work on pose-estimation using template 3D models.

This repository mirrors the principal Gitlab repository of the Chebyshev Accelerated Subspace iteration Eigensolver. If you want to contribute as developer to this project please contact e.di.napoli@fz-juelich.de.

General phase regularized MRI reconstruction using phase cycling

Flexible, non-allocating Julia implementations of the CG and BiCGStab methods.

High-performance Krylov subspace and preconditioned iterative solvers for dense and sparse linear systems

Matrix-free SPICE model