Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Machine learning C++ code

A toolkit for making real world machine learning and data analysis applications in C++

mlpack: a fast, header-only C++ machine learning library

Easy peasy distributed linear algebra on Windows using ScaLAPACK

Generative Adversarial Networks on Rydberg Atom Computers

Implementation of a (autoregressive) transformer quantum state that can be pretrained with data from quantum simulators

variational approach to quantum spin liquid in a Rydberg atom simulator, arXiv:2112.13688

Tensor network based quantum software framework: next generation

A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations

Supplementary code for arXiv:2406.12823

Technion Quantum Project

Permutational Invariance Quantum Solver for Lindblad open quantum system dynamics

Source code for serveral papers on discrete Laplace operators on general polygons and polyhedral meshes

Differentiable QP solver in JAX

IVA: Independent Vector Analysis implementation

The official GitHub mirror of the Chromium source

A modern formatting library

An open-source C++ library developed and used at Facebook.

Fast C++ logging library.

A framework for Differential Evolution with adaptive selection of operators and parameters.

Linear operators for discretizations of differential equations and scientific machine learning (SciML)

Python数值分析算法实践学习资料

scikit-learn: machine learning in Python

free finite-difference time-domain (FDTD) software for electromagnetic simulations

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

The fundamental package for scientific computing with Python.

SciPy library main repository

JSON for Modern C++

Demonstration of the PIPG algorithm for trajectory optimization