Alternatives and similar repositories for PELICAN

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

• fizisist / LorentzGroupNetwork
  Neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of …
  ☆51Updated 3 years ago
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆107Updated last year
• heidelberg-hepml / lorentz-gatr
  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)
  ☆29Updated 4 months ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆22Updated last year
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆28Updated 6 months ago
• jet-universe / particle_transformer
  Official implementation of "Particle Transformer for Jet Tagging".
  ☆111Updated last year
• CCQC / Quax
  Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.
  ☆69Updated last year
• NLESC-JCER / QMCTorch
  Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems
  ☆29Updated 5 months ago
• hqucms / weaver-core
  Streamlined neural network training.
  ☆56Updated last year
• iaifi / summer-school-2023
  ☆22Updated 2 years ago
• 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…
  ☆62Updated 6 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆216Updated 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 6 months ago
• sail-sg / jrystal
  A JAX-based Differentiable Density Functional Theory Framework for Materials
  ☆36Updated last week
• risi-kondor / GElib
  C++/CUDA library for SO(3) equivariant operations
  ☆25Updated last week
• niklasschmitz / ad-kernels
  Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
  ☆12Updated 2 years ago
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆87Updated last week
• hqucms / weaver
  Streamlined neural network training.
  ☆25Updated 2 years ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆41Updated 3 years ago
• Shiling42 / XY-MODEL
  Monte Carlo simulation on 2D XY-model
  ☆25Updated 6 years ago
• CompPhysVienna / MLSummerSchoolVienna2022
  ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"
  ☆39Updated 3 years ago
• bytedance / netobs
  Calculate observables from neural network-based VMC (NN-VMC).
  ☆17Updated 6 months ago
• zichunhao / WignerD
  Python calculator for the Wigner D matrices, Clebsch-Gordan coefficients, hydrogen atoms, and irreducible representations of the Lorentz …
  ☆10Updated 2 years ago
• bytedance / DeepSolid
  A library combining solid quantum Monte Carlo and neural network.
  ☆46Updated 10 months ago
• ChenAo-Phys / quantax
  Flexible neural quantum states based on QuSpin, JAX, and Equinox
  ☆21Updated this week
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆66Updated last month
• BoothGroup / GPSKet
  GPS plugin for NetKet (www.netket.org), introducing new models, optimizers and Fermionic functionality.
  ☆18Updated last month
• sdogsq / LorentzNet-release
  [JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
  ☆24Updated 3 years ago
• GTorlai / NeuralNetworks-for-Quantum
  Tutorials for the paper: "Neural network in quantum many-body physics: a hands-on tutorial"
  ☆53Updated 3 years ago
• fabiannagel / schnax
  An implementation of SchNet in JAX and JAX-MD.
  ☆17Updated 3 years ago