ansantam

ansantam's Stars

• tum-pbs/pbdl-book

  Welcome to the Physics-based Deep Learning Book (v0.2)

  Language:Jupyter Notebook976155

• garrettj403/SciencePlots

  Matplotlib styles for scientific plotting

  Language:Python7k708

• jaem-seo/KSTAR_tokamak_simulator

  A tokamak (nuclear fusion reactor) simulator with LSTM-based neural network (KSTAR-NN)

  Language:Python5712

• openPMD/openPMD-standard

  :notebook: Open Standard for Particle-Mesh Data

  7827

• aoeftiger/TUDa-NMAP-14

  TU Darmstadt etit lecture on numerical methods of accelerator physics series 14

  Language:HTML41

• nobeam/latticejson

  A JSON based lattice file format

  Language:Python122

• SLAC-ML/Badger

  Ocelot optimizer rebirth

  Language:Python166

• cr-xu/bo-4-euxfel

  Bayesian Optimization attempts for European XFEL tuning

  Language:Jupyter Notebook31

• owle-ml/owle-ml

  101

• desy-ml/cheetah

  Fast and differentiable particle accelerator optics simulation for reinforcement learning and optimisation applications.

  Language:Python3313

• 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

• uspas/optimization_and_ml

  USPAS course on optimization and machine learning

  Language:Jupyter Notebook2311

• stared/thinking-in-tensors-writing-in-pytorch

  Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

  Language:Jupyter Notebook32944

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript11.9k2.5k

• Inovesa/Inovesa

  Tool to simulate beam dynamics in synchrotron light sources

  Language:C++147

• MathPhysSim/FERMI_RL_Paper

  The repo for the FERMI FEL paper using model-based and model-free reinforcement learning methods to solve a particle accelerator operation problem.

  Language:Python62

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.2k3.6k

• computational-imaging/neural-holography

  Code and data for Neural Holography

  Language:Python16145

• cc-hpc-itwm/tarantella

  An Open-Source Distributed Deep Learning Framework

  Language:Python132

• vslavik/diff-pdf

  A simple tool for visually comparing two PDF files

  Language:C++3.6k210

• helmholtz-analytics/heat

  Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

  Language:Python20953

• ocelot-collab/ocelot

  OCELOT is a multiphysics simulation toolkit designed for studying FEL and storage ring-based light sources.

  Language:Python8558

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.1k723

• WillKoehrsen/hyperparameter-optimization

  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

  Language:Jupyter Notebook620325

• joelgrus/data-science-from-scratch

  code for Data Science From Scratch book

  Language:Python8.6k4.5k

• eldraco/Salamandra

  Salamandra is a tool to find spy microphones that use radio freq to transmit. It uses SDR.

  Language:Python819113

• spotify/luigi

  Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

  Language:Python17.7k2.4k

• SixTrack/SixTrack

  SixTrack – 6D Tracking Code

  Language:Fortran4144

• scottkosty/install-tl-ubuntu

  Install script for TeX Live on Ubuntu

  Language:TeX52252

• monsanto/auto-complete-auctex

  autocomplete for auctex

  Language:Emacs Lisp2428