Alternatives and similar repositories for LorentzGroupNetwork

Users that are interested in LorentzGroupNetwork are comparing it to the libraries listed below

• hanxzh94 / matrix-model
  Variational Monte Carlo with generative flows for mini-BMN matrix models
  ☆19Updated 5 years ago
• abogatskiy / PELICAN
  Permutation Equivariant Lorentz Invariant/Covariant Aggregator Network
  ☆13Updated 10 months ago
• heidelberg-hepml / lorentz-gatr
  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)
  ☆27Updated 3 months ago
• iaifi / summer-school-2022
  ☆16Updated 3 years ago
• iaifi / summer-school-2023
  ☆22Updated 2 years ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆27Updated 4 months ago
• fujiisoup / py3nj
  Wigner's 3J, 6J, 9J symbols for python
  ☆22Updated 2 months ago
• lukasheinrich / pyhep2020-autodiff-tutorial
  ☆33Updated 4 years ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆29Updated 6 months ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• li012589 / NeuralRG
  Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …
  ☆78Updated 5 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• google-deepmind / flows_for_atomic_solids
  ☆52Updated 2 years ago
• EverettYou / AutoregressiveStatMech
  Autoregressive model for solving statistical mechanics problems
  ☆11Updated 4 years ago
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆96Updated 3 months ago
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• niklasschmitz / ad-kernels
  Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
  ☆12Updated 2 years ago
• jmduarte / capstone-particle-physics-domain
  Website for Particle Physics Domain (UCSD Capstone)
  ☆12Updated 3 years ago
• HUJI-Deep / FlowKet
  A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.
  ☆38Updated 4 years ago
• ml4physics / cyjax
  Machine learning Calabi-Yau metrics with JAX
  ☆17Updated 2 years ago
• buwantaiji / DominantSparseEigenAD
  Reverse-mode AD of dominant sparse eigensolver using Pytorch.
  ☆41Updated 5 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆52Updated 3 years ago
• johannbrehmer / pointers
  Things that make me feel productive
  ☆15Updated 2 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆18Updated 5 years ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆21Updated last year
• RSMI-NE / RSMI-NE
  A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
  ☆32Updated 6 months ago
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆30Updated last year
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• lie-nn / lie-nn
  Tools for building equivariant polynomials on reductive Lie groups.
  ☆35Updated 2 years ago
• thaler-lab / EnergyFlow
  Python package for the EnergyFlow suite of tools.
  ☆42Updated last month