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
• heidelberg-hepml / lorentz-gatr
  Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)
  ☆29Updated 5 months ago
• jet-universe / particle_transformer
  Official implementation of "Particle Transformer for Jet Tagging".
  ☆114Updated last year
• iaifi / summer-school-2023
  ☆22Updated 2 years ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆220Updated 3 months ago
• hqucms / weaver-core
  Streamlined neural network training.
  ☆57Updated last year
• XanaduAI / GradDFT
  GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…
  ☆108Updated last year
• sdogsq / LorentzNet-release
  [JHEP] An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging
  ☆25Updated 3 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…
  ☆63Updated 7 months ago
• PhilipVinc / Lectures
  A collection of lectures and tutorials
  ☆23Updated last year
• CCQC / Quax
  Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.
  ☆70Updated last year
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆89Updated last week
• jet-net / JetNet
  For developing and reproducing ML + HEP projects.
  ☆25Updated last week
• hqucms / weaver
  Streamlined neural network training.
  ☆25Updated 2 years ago
• NLESC-JCER / QMCTorch
  Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems
  ☆29Updated 6 months ago
• varbench / varbench
  ☆50Updated last year
• jmmartyn / Neural-Network-Quantum-Field-States
  Code for Neural Network Quantum Field States
  ☆18Updated 2 years ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆29Updated 2 weeks ago
• ml4physics / cyjax
  Machine learning Calabi-Yau metrics with JAX
  ☆17Updated 2 years ago
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆88Updated 3 months ago
• markusschmitt / vmc_jax
  Impementation of Variational Monte Carlo (VMC) for quantum many-body dynamics using JAX.
  ☆67Updated 2 months ago
• lin-lin / 2018Fall_275
  Mathematical Introduction to Electronic Structure Theory
  ☆47Updated 6 years ago
• niklasschmitz / ad-kernels
  Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
  ☆12Updated 2 years ago
• thaler-lab / EnergyFlow
  Python package for the EnergyFlow suite of tools.
  ☆42Updated 3 months ago
• mhibatallah / RNNWavefunctions
  A wavefunction ansatz based on Recurrent Neural Networks to perform Variational Monte-Carlo Simulations
  ☆79Updated last year
• ChenAo-Phys / quantax
  Flexible neural quantum states based on QuSpin, JAX, and Equinox
  ☆23Updated 2 weeks ago
• buwantaiji / DominantSparseEigenAD
  Reverse-mode AD of dominant sparse eigensolver using Pytorch.
  ☆41Updated 5 years ago
• google-research / e3x
  E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.
  ☆109Updated 8 months ago
• WagnerGroup / pyqmc
  Python library for real space quantum Monte Carlo
  ☆96Updated this week
• aspuru-guzik-group / DiffiQult
  A fully autodifferentiable and variational HF
  ☆42Updated 5 years ago