els285

els285's Stars

• tzuhanchang/MadLAD

  aMC@NLO Assistant

  Language:Tcl32

• Alexanders101/SPANet

  Symmetry Preserving Attention Networks for Event Reconstruction

  Language:Python3838

• heidelberg-hepml/lorentz-gatr

  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)

  Language:Python166

• Qualcomm-AI-research/geometric-algebra-transformer

  Language:Python15724

• caricesarotti/event_isotropy

  Code to compute the event isotropy of collider events

  Language:Python64

• cyrraz/plothist

  Visualize and compare data in a scalable way and a beautiful style.

  Language:Python203

• FeiGSSS/Awesome-HigherOrderGraph

  Collection of papers relating data-driven higher-order graph/networks researches.

  677

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.8k343

• heppilko/ParticlePhysics-simulation-and-analysis

  Setup instructions for simulation and analysis of proton-proton collisions

  Language:Shell34

• tzuhanchang/pytorch_hep

  The high performance computing tools utilises PyTorch for high energy physics.

  Language:Python23

• tzuhanchang/HyPER

  Hypergraph for Particle Event Reconstruction

  Language:Python53

• rodem-hep/nu2flows

  Language:Python46

• iMoonLab/DeepHypergraph

  A pytorch library for graph and hypergraph computation.

  Language:Python68466

• gzcsudo/Awesome-Hypergraph-Network

  A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

  22323

• intake/akimbo

  For when your data won't fit in your dataframe

  Language:Python376

• janTOffermann/HEPData4ML

  Some tools for generating simulated HEP data (e.g. top quark jets) to use for developing classification/regression methods.

  Language:Python3

• GkAntonius/feynman

  Sharp-looking Feynman diagrams in python

  Language:Python6934

• AnthonyCalandra/modern-cpp-features

  A cheatsheet of modern C++ language and library features.

  19.9k2.1k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k3k

• janosh/awesome-normalizing-flows

  Awesome resources on normalizing flows.

  Language:Python1.5k126

• russellporter/openskimap.org

  The front end for OpenSkiMap.org.

  Language:TypeScript583

• cselig/cselig.github.io

  Language:JavaScript5

• sb2nov/resume

  Software developer resume in Latex

  Language:TeX5.4k1.5k

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.9k508

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.6k3.7k

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python228k25k

• starlingbank/developer-resources

  A list of useful links, our partners, as well as the stand out projects from the community

  11410

• loliverhennigh/Computational-Physics-and-Machine-Learning-Reading-List

  A list of papers relating Computational Physics and Machine Learning

  13347

• je-suis-tm/graph-theory

  Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS

  Language:Jupyter Notebook36090

• bat/BAT.jl

  A Bayesian Analysis Toolkit in Julia

  Language:Julia21330