Alternatives and similar repositories for summer-school-2023

Users that are interested in summer-school-2023 are comparing it to the libraries listed below

• florpi / summer_school_generative
  ☆14Updated 2 years ago
• heidelberg-hepml / lorentz-gatr
  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)
  ☆29Updated 5 months ago
• gerkone / egnn-jax
  E(n) Equivariant GNN in jax
  ☆14Updated 2 years ago
• iaifi / summer-school-2024
  ☆23Updated last year
• smsharma / point-cloud-galaxy-diffusion
  Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
  ☆25Updated last year
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆39Updated 8 months ago
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆35Updated last year
• PabloVD / CosmoGraphNet
  Graph Neural Networks to predict the cosmological parameters or the galaxy power spectrum from galaxy catalogs.
  ☆19Updated 2 years ago
• sdogsq / LorentzNet-release
  [JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
  ☆25Updated 3 years ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆219Updated 2 months ago
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆109Updated 7 months ago
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆89Updated last month
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆63Updated 7 months ago
• marylou-gabrie / flonaco
  ☆19Updated 3 years ago
• abogatskiy / PELICAN
  Permutation Equivariant Lorentz Invariant/Covariant Aggregator Network
  ☆13Updated last year
• f0uriest / orthax
  Orthogonal polynomials with JAX
  ☆26Updated last week
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 3 years ago
• Pablo-Lemos / GGNS
  Gradient Based Nested Sampling
  ☆20Updated last year
• drgreen / Phys_105B_S23
  ☆34Updated 2 years ago
• smsharma / jax-conditional-flows
  Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
  ☆20Updated last year
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆35Updated 2 years ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆40Updated 7 months ago
• kazewong / flowMC
  Normalizing-flow enhanced sampling package for probabilistic inference in Jax
  ☆252Updated 3 weeks ago
• NIFTy-PPL / JAXbind
  Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation
  ☆75Updated last month
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆135Updated 2 weeks ago
• DifferentiableUniverseInitiative / jaxDecomp
  JAX bindings for the NVIDIA cuDecomp library
  ☆49Updated 3 weeks ago
• homerjed / sbiax
  Fast, lightweight and parallelised simulation-based inference in JAX.
  ☆22Updated 3 weeks ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 5 years ago
• DavidRuhe / clifford-group-equivariant-neural-networks
  Code used by the "Clifford Group Equivariant Neural Networks" paper.
  ☆86Updated last year