OsAmaro

OsAmaro's Stars

• tayllan/awesome-algorithms

  A curated list of awesome places to learn and/or practice algorithms.

  20.3k618172.6k

• awesome-mlss/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:HTML2.6k25449296

• PlasmaPy/PlasmaPy

  An open source Python package for plasma research and education

  Language:Python56134917335

• tequilahub/tequila

  A High-Level Abstraction Framework for Quantum Algorithms

  Language:Python3631631101

• iml-wg/HEPML-LivingReview

  Living Review of Machine Learning for Particle Physics

  Language:TeX3492847106

• QuEraComputing/Bloqade.jl

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

  Language:Julia182822037

• Scinawa/quantumalgorithms.org

  This is the repository for https://quantumalgorithms.org

  Language:TeX14023551

• qiskit-community/qiskit-algorithms

  A library of quantum algorithms for Qiskit.

  Language:Python11167354

• hiddenSymmetries/simsopt

  Simons Stellarator Optimizer Code

  Language:Python92511445

• UCLA-Plasma-Simulation-Group/PIC-skeleton-codes

  A fully-functional but succinct Particle-In-Cell Plasma Simulation codebase with several parallel implementations (MPI, OpenMP, SSE, CUDA). This code is meant to highlight the core PIC algorithms, especially issues around parallelization, by implementing a minimal number of features in favor of clarity, ease of use, and extensibility.

  Language:Fortran7136032

• PacktPublishing/A-Practical-Guide-to-Quantum-Machine-Learning-and-Quantum-Optimization

  A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt

  Language:Jupyter Notebook605026

• cduck/feynman_path

  Visualization tool for the Feynman Path Integral applied to quantum circuits

  Language:Python494414

• osiris-code/osiris

  OSIRIS Particle-In-Cell code

  Language:Fortran41596

• comp-physics/roseNNa

  Fast, minimally-intrusive neural network inference library

  Language:Python17242

• adjs/dcsp

  Code used to generate the results for the publication 'divide-and-conquer state preparation (2020)'

  Language:Jupyter Notebook10306

• cimatosa/stocproc

  generate time continuous stochastic process for a given correlation function using Karhunen-Loève expansion

  Language:Python10506

• ArsenyMironov/SFQED-Loops

  This is a collection of scripts developed for calculating loop processes in Strong-Field QED

  Language:Mathematica730

• aykhuss/miho

  theory uncertainties from MIssing Higher Orders

  Language:C++6400

• epalves/data-driven-plasma

  Language:Jupyter Notebook6102

• CarolinaPerdomo/Thesis

  Notebooks developed in Mathematica for my Ph.D. thesis and other resources

  Language:Mathematica3100

• maxbalrog/light-by-light

  Utility functions for running gridscans and optuna optimizations for light-by-light scattering simulated with VacEm

  Language:Jupyter Notebook3101

• SeanLim2101/PiC-Code-Jax

  Language:Python3201

• amercurib/PairAvalanchesQED.jl

  A code computing growth rate predictions of electron-positron pairs avalanches in strong electromagnetic fields

  Language:Julia220

• FeynCalc/LoopScalla

  Symbolic Loop-Healer

  Language:Visual Basic 6.02300

• kale-j/epoch

  Particle-in-cell code for plasma physics simulations

  Language:Fortran200

• maxbalrog/light-by-light-botorch

  Optimization of light-by-light scattering scenarios with BoTorch engine.

  Language:Jupyter Notebook2100

• gabriel27almeida/expr-ent

  Language:Jupyter Notebook1100

• linigoga/QuantumSchrodingerEquation

  A simulation of the Quantum Schrodinger Equation

  Language:Jupyter Notebook110

• Savider/PlasmaVR

  Language:C#1

• smontefiori/Smilei-SFQEDtoolkit

  Particle-in-cell code for plasma simulation - Coupling to SFQEDtoolkit

  1