mahu21

mahu21's Stars

• atcollab/at

  Accelerator Toolbox

  Language:MATLAB4831

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML11.9k796

• yhat/pandasql

  sqldf for pandas

  Language:Python1.3k185

• microsoft/sql-server-samples

  Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

  10k8.8k

• openPMD/openPMD-viewer

  :snake: Python visualization tools for openPMD files

  Language:Python6550

• fbpic/fbpic

  Spectral, quasi-3D Particle-In-Cell code, for CPU and GPU

  Language:Python17371

• Hi-PACE/hipace

  Highly efficient Plasma Accelerator Emulation, quasistatic particle-in-cell code

  Language:C++5114

• ageron/handson-ml3

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook7.4k3k

• openai/gpt-2

  Code for the paper "Language Models are Unsupervised Multitask Learners"

  Language:Python22.3k5.5k

• StatQuest/logistic_regression_demo

  Language:R8382

• StatQuest/pytorch_lightning_tutorials

  92

• StatQuest/random_forest_demo

  Language:R3740

• StatQuest/multiple_regression_demo

  Language:R1611

• radiasoft/jupyter_rs_radia

  Language:Python41

• radiasoft/rslight

  wavefront propagation for light beams

  Language:Jupyter Notebook11

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.9k5.6k

• sulcantonin/ICFA-Beam-2022

  This repository contains all materials from tutorial to anomaly detection and our presentation at 3rd ICFA Beam Dynamics Mini-Workshop on Machine Learning Applications for Particle Accelerators

  Language:Jupyter Notebook11

• RobinKa/maxwell-simulation

  Interactive web-based simulator of electromagnetic waves

  Language:TypeScript10211

• ZenaPatel/Opt-ID

  Code for the Optimisation of ID's using Python and Opt-AI

  1

• hz-b/bact-analysis-bessyii

  Analysis tools for accelerator optimisation problems: BESSY II specifics

  Language:Jupyter Notebook1

• hz-b/bact

  Berlin Accelerator Control Toolkit

  Language:Python2

• AngelFP/VisualPIC

  Data Visualization for Particle-in-Cell Codes.

  Language:Python5013

• AngelFP/Wake-T

  A fast tracking code for plasma accelerators

  Language:Python3413

• ax3l/Wake-T

  A fast tracking code for plasma accelerators

  1

• tomerten/PyElegant

  Python wrapper for Elegant, with Elegant running in an Singularity container.

  Language:Jupyter Notebook1

• tomerten/PyElegantSDDS

  Python wrapper around Elegant and SDDS (installed in a Singularity container) with template commands.

  Language:Python13

• PaulGoslawski/pyBrill

  Code based on brill from A.Gaup and M.Scheer

  Language:Python21

• jbengtsson/at

  Accelerator Toolbox

  Language:Pascal11

• MethodicalAcceleratorDesign/MAD-NG

  MAD Next-Generation official repository

  Language:Lua3011

• hz-b/rayx

  RAYX is a simulation tool for beamlines at electron storage rings. It traces synchrotron radiation through a series of mirrors, gratings and more and provides the user with helpful insights, how a given beamline performs.

  Language:C++216